Index for darr

Darra, N. Standard Author Listing
     with: Fountas, S.: Development of a Multi-Scale Tomato Yield Prediction Mode...
     with: Hasanli, G.: Development of a Multi-Scale Tomato Yield Prediction Mode...
     with: Kasimati, A.: Development of a Multi-Scale Tomato Yield Prediction Mod...
     with: Psiroukis, V.: Development of a Multi-Scale Tomato Yield Prediction Mo...
     with: Trojacek, P.: Development of a Multi-Scale Tomato Yield Prediction Mod...

Darras, K. Standard Author Listing
     with: Abolmaesumi, P.: Automatic Segmentation of Wrist Bones in CT Using a S...
     with: Anas, E.M.A.: Automatic Segmentation of Wrist Bones in CT Using a Stat...
     with: John, P.S.: Automatic Segmentation of Wrist Bones in CT Using a Statis...
     with: Mousavi, P.: Automatic Segmentation of Wrist Bones in CT Using a Stati...
     with: Pichora, D.: Automatic Segmentation of Wrist Bones in CT Using a Stati...
     with: Rasoulian, A.: Automatic Segmentation of Wrist Bones in CT Using a Sta...
     with: Rohling, R.: Automatic Segmentation of Wrist Bones in CT Using a Stati...
     with: Seitel, A.: Automatic Segmentation of Wrist Bones in CT Using a Statis...
     with: Wilson, D.: Automatic Segmentation of Wrist Bones in CT Using a Statis...
9 for Darras, K.

Darrell, T.J. Standard Author Listing
     with: Abramovich, O.: PromptonomyViT: Multi-Task Prompt Learning Improves Vi...
     with: Agarwal, S.: Revisiting Generalizability in Deepfake Detection: Improv...
     with: Agarwal, S.: Watch Those Words: Video Falsification Detection Using Wo...
     with: Agarwala, A.: Recognizing Image Style
     with: Agrawal, P.: Curiosity-Driven Exploration by Self-Supervised Prediction
     with: Agrawal, P.: Learning Instance Segmentation by Interaction
     with: Agrawal, P.: Zero-Shot Visual Imitation
     with: Akata, Z.: Generalized Zero- and Few-Shot Learning via Aligned Variati...
     with: Akata, Z.: Generating Visual Explanations
     with: Akata, Z.: Grounding Visual Explanations
     with: Akata, Z.: Multimodal Explanations: Justifying Decisions and Pointing ...
     with: Akata, Z.: Textual Explanations for Self-Driving Vehicles
     with: Althoff, T.: Sparselet Models for Efficient Multiclass Object Detection
     with: Andreas, J.: Explainable Neural Computation via Stack Neural Module Ne...
     with: Andreas, J.: Learning to Reason: End-to-End Module Networks for Visual...
     with: Andreas, J.: Modeling Relationships in Referential Expressions with Co...
     with: Andreas, J.: Neural Module Networks
     with: Arandjelovic, O.D.: Face Recognition with Image Sets Using Manifold De...
     with: Arbelle, A.: PromptonomyViT: Multi-Task Prompt Learning Improves Video...
     with: Azadi, S.: Compositional GAN: Learning Image-Conditional Binary Compos...
     with: Azadi, S.: Learning Detection with Diverse Proposals
     with: Azadi, S.: More Control for Free! Image Synthesis with Semantic Diffus...
     with: Azadi, S.: Multi-content GAN for Few-Shot Font Style Transfer
     with: Azadi, S.: Shape-Guided Diffusion with Inside-Outside Attention
     with: Azarbayejani, A.: Pfinder: Real-Time Tracking of the Human Body
     with: Azarbayejani, A.: Robust Estimation of Multiple Models in the Structur...
     with: Azarbayejani, A.J.: Perceptive Spaces for Performance and Entertainmen...
     with: Baker, H.H.: Method and apparatus for personnel detection and tracking
     with: Baker, H.H.: Robust, Real-Time People Tracking in Open Environments Us...
     with: Bar, A.: DETReg: Unsupervised Pretraining with Region Priors for Objec...
     with: Bar, A.: Learning Canonical Representations for Scene Graph to Image G...
     with: Bar, A.: Object-Region Video Transformers
     with: Barron, J.T.: category-level 3-D object dataset: Putting the Kinect to...
     with: Barron, J.T.: Scene Intrinsics and Depth from a Single Image
     with: Batra, D.: Seeing the Un-scene: Learning Amodal Semantic Maps for Room...
     with: Beijbom, O.: Best Practices for Fine-Tuning Visual Classifiers to New ...
     with: Beijbom, O.: Compact Bilinear Pooling
     with: Ben Avraham, E.: Object-Region Video Transformers
     with: Ben Avraham, E.: PromptonomyViT: Multi-Task Prompt Learning Improves V...
     with: Blumberg, B.: Alive System: Wireless, Full-Body Interaction with Auton...
     with: Bourdev, L.: PANDA: Pose Aligned Networks for Deep Attribute Modeling
     with: Brockman, S.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multisca...
     with: Brooks, T.: Studying Bias in GANs Through the Lens of Race
     with: Brosh, E.: Spatio-Temporal Action Graph Networks
     with: Burns, K.: Women Also Snowboard: Overcoming Bias in Captioning Models
     with: Cai, Q.: Joint Monocular 3D Vehicle Detection and Tracking
     with: Cai, Q.Z.: Disentangling Propagation and Generation for Video Prediction
     with: Candido, S.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscal...
     with: Canny, J.: Advisable Learning for Self-Driving Vehicles by Internalizi...
     with: Canny, J.: Textual Explanations for Self-Driving Vehicles
     with: Carlson, A.K.: Proceedings of the Workshop on 3D Geometry Generation f...
     with: Chakrabarti, A.: Learning object color models from multi-view constrai...
     with: Chakrabarti, A.: Modeling Radiometric Uncertainty for Vision with Tone...
     with: Chao, C.M.: Perceptive Spaces for Performance and Entertainment: Untet...
     with: Chechik, G.: DETReg: Unsupervised Pretraining with Region Priors for O...
     with: Chechik, G.: Learning Canonical Representations for Scene Graph to Ima...
     with: Chechik, G.: Object-Region Video Transformers
     with: Checka, N.: Activity maps for location-aware computing
     with: Checka, N.: Exploring Vision-Based Interfaces: How to Use Your Head in...
     with: Checka, N.: Fast stereo-based head tracking for interactive environments
     with: Checka, N.: Plan-View Trajectory Estimation with Dense Stereo Backgrou...
     with: Chellappa, R.: Guest Editor's Introduction to the Special Issue on Dom...
     with: Chen, D.: Contrastive Test-Time Adaptation
     with: Chen, D.: Learning Instance Segmentation by Interaction
     with: Chen, D.: Zero-Shot Visual Imitation
     with: Chen, H.F.: BDD100K: A Diverse Driving Dataset for Heterogeneous Multi...
     with: Chen, H.F.: QDTrack: Quasi-Dense Similarity Learning for Appearance-On...
     with: Chen, H.F.: Quasi-Dense Similarity Learning for Multiple Object Tracking
     with: Chen, X.L.: Seeing the Un-scene: Learning Amodal Semantic Maps for Roo...
     with: Chen, X.Y.: Fooling Vision and Language Models Despite Localization an...
     with: Chen, Y.B.: Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot...
     with: Chen, Y.Y.: BDD100K: A Diverse Driving Dataset for Heterogeneous Multi...
     with: Chopikyan, A.: More Control for Free! Image Synthesis with Semantic Di...
     with: Christoudias, C.M.: Co-training with noisy perceptual observations
     with: Christoudias, C.M.: Finding lost children
     with: Christoudias, C.M.: Learning to Recognize Objects from Unseen Modalities
     with: Christoudias, C.M.: Light Field Morphable Models
     with: Christoudias, C.M.: Non-parametric and light-field deformable models
     with: Christoudias, C.M.: On Modelling Nonlinear Shape-and-Texture Appearanc...
     with: Christoudias, C.M.: Unsupervised feature selection via distributed cod...
     with: Chu, B.: Best Practices for Fine-Tuning Visual Classifiers to New Doma...
     with: Cipolla, R.: Face Recognition with Image Sets Using Manifold Density D...
     with: Clipp, B.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale ...
     with: Colella, P.: Proceedings of the Workshop on 3D Geometry Generation for...
     with: Collins, M.: Hidden Conditional Random Fields
     with: Collins, M.: Learning Visual Representations using Images with Captions
     with: Collins, M.: Transfer learning for image classification with sparse pr...
     with: Covell, M.M.: Articulated-Pose Estimation using Brightness and Depth-C...
     with: Covell, M.M.: Correspondence with Cumulative Similarity Transforms
     with: Covell, M.M.: Dynamic Occluding Contours: A New External-energy Term f...
     with: Dai, Q.: Temporal Action Detection with Multi-level Supervision
     with: Daume, H.: Guest Editor's Introduction to the Special Issue on Domain ...
     with: Davis, L.S.: Birdlets: Subordinate categorization using volumetric pri...
     with: de Chanlatte, M.R.: Proceedings of the Workshop on 3D Geometry Generat...
     with: de With, P.H.N.: Proceedings of the Workshop on 3D Geometry Generation...
     with: Demirdjian, D.: Activity maps for location-aware computing
     with: Demirdjian, D.: Avoiding the Streetlight Effect: Tracking by Exploring...
     with: Demirdjian, D.: Conditional Random People: Tracking Humans with CRFs a...
     with: Demirdjian, D.: Constraining human body tracking
     with: Demirdjian, D.: Motion Estimation from Disparity Images
     with: Demirdjian, D.: Plan-View Trajectory Estimation with Dense Stereo Back...
     with: Demirdjian, D.: Using Multiple-Hypothesis Disparity Maps and Image Vel...
     with: Deng, H.Y.: Proceedings of the Workshop on 3D Geometry Generation for ...
     with: Denzler, J.: Exemplar-Specific Patch Features for Fine-Grained Recogni...
     with: Denzler, J.: Generalized Orderless Pooling Performs Implicit Salient M...
     with: Denzler, J.: Whole Is More Than Its Parts? From Explicit to Implicit P...
     with: Dollar, P.: Learning Features by Watching Objects Move
     with: Dollar, P.: Learning to Segment Every Thing
     with: Donahue, J.: Context Encoders: Feature Learning by Inpainting
     with: Donahue, J.: Generating Visual Explanations
     with: Donahue, J.: Long-Term Recurrent Convolutional Networks for Visual Rec...
     with: Donahue, J.: Part-Based R-CNNs for Fine-Grained Category Detection
     with: Donahue, J.: Region-Based Convolutional Networks for Accurate Object D...
     with: Donahue, J.: Rich Feature Hierarchies for Accurate Object Detection an...
     with: Donahue, J.: Semi-supervised Domain Adaptation with Instance Constraints
     with: Donahue, J.: Sequence to Sequence -- Video to Text
     with: Dou, Z.Y.: SkipNet: Learning Dynamic Routing in Convolutional Networks
     with: Dunagan, B.: Simultaneous calibration and tracking with a network of n...
     with: Dunlap, L.: On Guiding Visual Attention with Language Specification
     with: Ebrahimi, S.: Compositional GAN: Learning Image-Conditional Binary Com...
     with: Ebrahimi, S.: Contrastive Test-Time Adaptation
     with: Ebrahimi, S.: Generalized Zero- and Few-Shot Learning via Aligned Vari...
     with: Ebrahimi, S.: Predicting with Confidence on Unseen Distributions
     with: Ebrahimi, S.: Self-Supervised Pretraining Improves Self-Supervised Pre...
     with: Ebrahimi, S.: Variational Adversarial Active Learning
     with: Eden, A.: Finding lost children
     with: Efros, A.: Strumming to the Beat: Audio-Conditioned Contrastive Video ...
     with: Efros, A.A.: Context Encoders: Feature Learning by Inpainting
     with: Efros, A.A.: Curiosity-Driven Exploration by Self-Supervised Prediction
     with: Efros, A.A.: Studying Bias in GANs Through the Lens of Race
     with: Efros, A.A.: Zero-Shot Visual Imitation
     with: Essa, I.A.: Task-Specific Gesture Analysis in Real-Time Using Interpol...
     with: Essa, I.A.: Tracking Facial Motion
     with: Farrell, R.: Birdlets: Subordinate categorization using volumetric pri...
     with: Farrell, R.: Deformable Part Descriptors for Fine-Grained Recognition ...
     with: Farrell, R.: Pose pooling kernels for sub-category recognition
     with: Feichtenhofer, C.: ConvNet for the 2020s, A
     with: Felzenszwalb, P.F.: Generalized Sparselet Models for Real-Time Multicl...
     with: Felzenszwalb, P.F.: Plan-View Trajectory Estimation with Dense Stereo ...
     with: Felzenszwalb, P.F.: Sparselet Models for Efficient Multiclass Object D...
     with: Feng, J.: Few-Shot Object Detection via Feature Reweighting
     with: Feng, J.: Learning the Structure of Deep Convolutional Networks
     with: Feng, J.S.: Learning Detection with Diverse Proposals
     with: Feng, J.S.: Learning Scalable Discriminative Dictionary with Sample Re...
     with: Feng, J.S.: Natural Language Object Retrieval
     with: Ferrari, V.: Introduction to the CVIU special issue on 'Parts and Attr...
     with: Fidler, S.: probabilistic model for recursive factorized image feature...
     with: Fischer, T.: Monocular Quasi-Dense 3D Object Tracking
     with: Fischer, T.: QDTrack: Quasi-Dense Similarity Learning for Appearance-O...
     with: Fisher, J.W.: Combining Object and Feature Dynamics in Probabilistic T...
     with: Fisher, J.W.: Combining Simple Models to Approximate Complex Dynamics
     with: Fisher, J.W.: Face Recognition from Long-Term Observations
     with: Fisher, J.W.: Face Recognition with Image Sets Using Manifold Density ...
     with: Fisher, J.W.: Incorporating Object Tracking Feedback into Background M...
     with: Fisher, J.W.: Probabalistic Models and Informative Subspaces for Audio...
     with: Fisher, M.: Multi-content GAN for Few-Shot Font Style Transfer
     with: Freytag, A.: Exemplar-Specific Patch Features for Fine-Grained Recogni...
     with: Fritz, M.: Adapting Visual Category Models to New Domains
     with: Fritz, M.: Anytime Recognition of Objects and Scenes
     with: Fritz, M.: category-level 3-D object dataset: Putting the Kinect to wo...
     with: Fritz, M.: NBNN kernel, The
     with: Fritz, M.: probabilistic model for recursive factorized image features...
     with: Fritz, M.: Sparselet Models for Efficient Multiclass Object Detection
     with: Fritz, M.: Visual grasp affordances from appearance-based cues
     with: Funk, C.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale G...
     with: Gao, H.: Disentangling Propagation and Generation for Video Prediction
     with: Gao, H.: Spatio-Temporal Action Graph Networks
     with: Gao, J.: Back to the Source: Diffusion-Driven Adaptation to Test-Time ...
     with: Gao, Y.: Compact Bilinear Pooling
     with: Gao, Y.: End-to-End Learning of Driving Models from Large-Scale Video ...
     with: Gao, Y.: Generalized Orderless Pooling Performs Implicit Salient Match...
     with: Gao, Y.: Prototypical Cross-domain Self-supervised Learning for Few-sh...
     with: Geiger, A.: Rank Priors for Continuous Non-Linear Dimensionality Reduc...
     with: Geyer, C.: Generalized Sparselet Models for Real-Time Multiclass Objec...
     with: Geyer, C.: Sparselet Models for Efficient Multiclass Object Detection
     with: Ginosar, S.: Body2Hands: Learning to Infer 3D Hands from Conversationa...
     with: Ginosar, S.: Can Language Models Learn to Listen?
     with: Ginosar, S.: Learning to Listen: Modeling Non-Deterministic Dyadic Fac...
     with: Ginosar, S.: Strumming to the Beat: Audio-Conditioned Contrastive Vide...
     with: Girod, B.: Simple Range Cameras Based on Focal Error
     with: Girshick, R.: Deformable part models are convolutional neural networks
     with: Girshick, R.: Generalized Sparselet Models for Real-Time Multiclass Ob...
     with: Girshick, R.: Learning Features by Watching Objects Move
     with: Girshick, R.: Learning to Segment Every Thing
     with: Girshick, R.: Part-Based R-CNNs for Fine-Grained Category Detection
     with: Girshick, R.: Region-Based Convolutional Networks for Accurate Object ...
     with: Girshick, R.: Rich Feature Hierarchies for Accurate Object Detection a...
     with: Girshick, R.: Sparselet Models for Efficient Multiclass Object Detection
     with: Glass, J.: Multistream Articulatory Feature-Based Models for Visual Sp...
     with: Glass, J.: Visual Speech Recognition with Loosely Synchronized Feature...
     with: Globerson, A.: DETReg: Unsupervised Pretraining with Region Priors for...
     with: Globerson, A.: Learning Canonical Representations for Scene Graph to I...
     with: Globerson, A.: Object-Region Video Transformers
     with: Globerson, A.: PromptonomyViT: Multi-Task Prompt Learning Improves Vid...
     with: Globerson, A.: Spatio-Temporal Action Graph Networks
     with: Gonzalez, J.: On Guiding Visual Attention with Language Specification
     with: Gonzalez, J.: Reliable Visual Question Answering: Abstain Rather Than ...
     with: Gonzalez, J.E.: Multitask Vision-Language Prompt Tuning
     with: Gonzalez, J.E.: Robust Object Detection via Instance-Level Temporal Cy...
     with: Gonzalez, J.E.: Simple Token-Level Confidence Improves Caption Correct...
     with: Gonzalez, J.E.: SkipNet: Learning Dynamic Routing in Convolutional Net...
     with: Gonzalez, J.E.: TAFE-Net: Task-Aware Feature Embeddings for Low Shot L...
     with: Gordon, G.G.: 3D Pose Tracking with Linear Depth and Brightness Constr...
     with: Gordon, G.G.: Background Estimation and Removal Based on Range and Color
     with: Gordon, G.G.: Background estimation and segmentation based on range an...
     with: Gordon, G.G.: Integrated Person Tracking Using Stereo, Color, and Patt...
     with: Gordon, G.G.: Magic Morphin' Mirror: Person Detection and Tracking
     with: Gordon, G.G.: Method and apparatus for personnel detection and tracking
     with: Gordon, G.G.: Robust, Real-Time People Tracking in Open Environments U...
     with: Gordon, G.G.: Virtual Mirror Interface Using Real-Time Robust Face Tra...
     with: Grauman, K.: Active Learning with Gaussian Processes for Object Catego...
     with: Grauman, K.: Approximate Correspondences in High Dimensions
     with: Grauman, K.: Avoiding the Streetlight Effect: Tracking by Exploring Li...
     with: Grauman, K.: Bayesian approach to image-based visual hull reconstructi...
     with: Grauman, K.: Efficient Image Matching with Distributions of Local Inva...
     with: Grauman, K.: Fast Contour Matching Using Approximate Earth Mover's Dis...
     with: Grauman, K.: Gaussian Processes for Object Categorization
     with: Grauman, K.: Inferring 3D Structure with a Statistical Image-Based Sha...
     with: Grauman, K.: Pyramid Match Hashing: Sub-Linear Time Indexing Over Part...
     with: Grauman, K.: Pyramid Match Kernel: Discriminative Classification with ...
     with: Grauman, K.: Unsupervised Learning of Categories from Sets of Partiall...
     with: Grauman, K.: Virtual Visual Hulls: Example-Based 3D Shape Estimation f...
     with: Grauman, K.: Virtual Visual Hulls: Example-Based 3D Shape Inference fr...
     with: Gu, C.H.: Visual grasp affordances from appearance-based cues
     with: Guadarrama, S.: Long-Term Recurrent Convolutional Networks for Visual ...
     with: Guadarrama, S.: YouTube2Text: Recognizing and Describing Arbitrary Act...
     with: Guan, S.: Proceedings of the Workshop on 3D Geometry Generation for Sc...
     with: Guillory, D.: Predicting with Confidence on Unseen Distributions
     with: Guillory, D.: Self-Supervised Pretraining Improves Self-Supervised Pre...
     with: Guillory, D.: Studying Bias in GANs Through the Lens of Race
     with: Guillory, D.: Weakly-supervised Action Localization with Expectation-m...
     with: Gupta, R.: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale ...
     with: Gupta, S.: Learning with Side Information through Modality Hallucination
     with: Han, H.: Recognizing Image Style
     with: Han, J.W.: Exploring Simple and Transferable Recognition-Aware Image P...
     with: Hariharan, B.: Learning Features by Watching Objects Move
     with: Harville, M.: 3D Pose Tracking with Linear Depth and Brightness Constr...
     with: Harville, M.: Articulated-Pose Estimation using Brightness and Depth-C...
     with: Harville, M.: Background Estimation and Removal Based on Range and Color
     with: Harville, M.: Background estimation and segmentation based on range an...
     with: Harville, M.: Integrated Person Tracking Using Stereo, Color, and Patt...
     with: Harville, M.: Magic Morphin' Mirror: Person Detection and Tracking
     with: Harville, M.: Method and apparatus for personnel detection and tracking
     with: Harville, M.: Robust, Real-Time People Tracking in Open Environments U...
     with: Harville, M.: Virtual Mirror Interface Using Real-Time Robust Face Tra...
     with: Hays, J.: Proceedings of the Workshop on 3D Geometry Generation for Sc...
     with: He, K.: Learning to Segment Every Thing
     with: Hendricks, L.A.: Captioning Images with Diverse Objects
     with: Hendricks, L.A.: Deep Compositional Captioning: Describing Novel Objec...
     with: Hendricks, L.A.: Generating Visual Explanations
     with: Hendricks, L.A.: Grounding Visual Explanations
     with: Hendricks, L.A.: Localizing Moments in Video with Natural Language
     with: Hendricks, L.A.: Long-Term Recurrent Convolutional Networks for Visual...
     with: Hendricks, L.A.: Multimodal Explanations: Justifying Decisions and Poi...
     with: Hendricks, L.A.: Women Also Snowboard: Overcoming Bias in Captioning M...
     with: Hertzmann, A.: Recognizing Image Style
     with: Herzig, R.: DETReg: Unsupervised Pretraining with Region Priors for Ob...
     with: Herzig, R.: Learning Canonical Representations for Scene Graph to Imag...
     with: Herzig, R.: Object-Region Video Transformers
     with: Herzig, R.: PromptonomyViT: Multi-Task Prompt Learning Improves Video ...
     with: Herzig, R.: Something-Else: Compositional Action Recognition With Spat...
     with: Herzig, R.: Spatio-Temporal Action Graph Networks
     with: Hlavac, M.: Perceptive Spaces for Performance and Entertainment: Untet...
     with: Hoffman, J.: Adversarial Discriminative Domain Adaptation
     with: Hoffman, J.: Best Practices for Fine-Tuning Visual Classifiers to New ...
     with: Hoffman, J.: Clockwork Convnets for Video Semantic Segmentation
     with: Hoffman, J.: Continuous Manifold Based Adaptation for Evolving Visual ...
     with: Hoffman, J.: Detector discovery in the wild: Joint multiple instance a...
     with: Hoffman, J.: Discovering Latent Domains for Multisource Domain Adaptat...
     with: Hoffman, J.: Learning with Side Information through Modality Hallucina...
     with: Hoffman, J.: Semi-supervised Domain Adaptation with Instance Constraints
     with: Hoffman, J.: Simultaneous Deep Transfer Across Domains and Tasks
     with: Hoffman, J.: Spatial Semantic Regularisation for Large Scale Object De...
     with: Hoffman, J.: Temporal Action Detection with Multi-level Supervision
     with: Hogg, D.C.: Special Editors' Introduction to the Special Issue on Awar...
     with: Houben, T.: Proceedings of the Workshop on 3D Geometry Generation for ...
     with: Hu, H.: Joint Monocular 3D Vehicle Detection and Tracking
     with: Hu, H.N.: Monocular Quasi-Dense 3D Object Tracking
     with: Hu, L.W.: Learning to Listen: Modeling Non-Deterministic Dyadic Facial...
     with: Hu, L.W.: Watch Those Words: Video Falsification Detection Using Word-...
     with: Hu, P.: Learning to Detect Every Thing in an Open World
     with: Hu, R.: Grounding of Textual Phrases in Images by Reconstruction
     with: Hu, R.: Iterative Answer Prediction With Pointer-Augmented Multimodal ...
     with: Hu, R.: Language-Conditioned Graph Networks for Relational Reasoning
     with: Hu, R.: Learning to Reason: End-to-End Module Networks for Visual Ques...
     with: Hu, R.: Learning to Segment Every Thing
     with: Hu, R.: Modeling Relationships in Referential Expressions with Composi...
     with: Hu, R.: Spatial Semantic Regularisation for Large Scale Object Detection
     with: Hu, R.H.: Explainable Neural Computation via Stack Neural Module Netwo...
     with: Hu, R.H.: Grounding Visual Explanations
     with: Hu, R.H.: Natural Language Object Retrieval
     with: Hu, R.H.: Segmentation from Natural Language Expressions
     with: Hu, Y.X.: More Control for Free! Image Synthesis with Semantic Diffusi...
     with: Huang, C.: Beyond spatial pyramids: Receptive field learning for poole...
     with: Huang, T.E.: QDTrack: Quasi-Dense Similarity Learning for Appearance-O...
     with: Huang, T.E.: Robust Object Detection via Instance-Level Temporal Cycle...
     with: Huang, W.: Simple, Real-Time Range Camera, A
     with: Huisman, T.: Proceedings of the Workshop on 3D Geometry Generation for...
     with: Iandola, F.: Deformable Part Descriptors for Fine-Grained Recognition ...
     with: Iandola, F.: Deformable part models are convolutional neural networks
     with: Jacobs, D.W.: Special Editors' Introduction to the Special Issue on Aw...
     with: Jaipuria, N.: Proceedings of the Workshop on 3D Geometry Generation fo...
     with: Janoch, A.: category-level 3-D object dataset: Putting the Kinect to w...
     with: Jegelka, S.: Learning Scalable Discriminative Dictionary with Sample R...
     with: Jia, Y.Q.: Beyond spatial pyramids: Receptive field learning for poole...
     with: Jia, Y.Q.: category-level 3-D object dataset: Putting the Kinect to wo...
     with: Jia, Y.Q.: Latent Task Adaptation with Large-Scale Hierarchies
     with: Jia, Y.Q.: Learning cross-modality similarity for multinomial data
     with: Jiao, J.: Learning Saliency Propagation for Semi-Supervised Instance S...
     with: Johansen, H.: Proceedings of the Workshop on 3D Geometry Generation fo...
     with: Joo, H.: Body2Hands: Learning to Infer 3D Hands from Conversational Ge...
     with: Joo, H.: Learning to Listen: Modeling Non-Deterministic Dyadic Facial ...
     with: Jordan, M.: Supervised hierarchical Pitman-Yor process for natural sce...
     with: Jurie, F.: Introduction to the CVIU special issue on 'Parts and Attrib...
     with: Kamat, S.: Revisiting Generalizability in Deepfake Detection: Improvin...
     with: Kanazawa, A.: Can Language Models Learn to Listen?
     with: Kanazawa, A.: Learning to Listen: Modeling Non-Deterministic Dyadic Fa...
     with: Kanazawa, A.: Studying Bias in GANs Through the Lens of Race
     with: Kang, B.: Few-Shot Object Detection via Feature Reweighting
     with: Kang, B.Y.: Exploring Simple and Transferable Recognition-Aware Image ...
     with: Kantorov, V.: DETReg: Unsupervised Pretraining with Region Priors for ...
     with: Kapoor, A.: Active Learning with Gaussian Processes for Object Categor...
     with: Kapoor, A.: Gaussian Processes for Object Categorization
     with: Kapoorz, A.: Co-training with noisy perceptual observations
     with: Karalashvili, M.: Shape-Guided Diffusion with Inside-Outside Attention
     with: Karayev, S.: Anytime Recognition of Objects and Scenes
     with: Karayev, S.: category-level 3-D object dataset: Putting the Kinect to ...
     with: Karayev, S.: probabilistic model for recursive factorized image featur...
     with: Karayev, S.: Recognizing Image Style
     with: Karlinsky, L.: PromptonomyViT: Multi-Task Prompt Learning Improves Vid...
     with: Ke, W.: Weakly-supervised Action Localization with Expectation-maximiz...
     with: Keutzer, K.: Learning Invariant Representations and Risks for Semi-sup...
     with: Keutzer, K.: Multitask Vision-Language Prompt Tuning
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     with: Keutzer, K.: SelfAugment: Automatic Augmentation Policies for Self-Sup...
     with: Khalid, S.: Proceedings of the Workshop on 3D Geometry Generation for ...
     with: Kim, D.: Semi-Supervised Domain Adaptation via Minimax Entropy
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     with: Kim, J.: Advisable Learning for Self-Driving Vehicles by Internalizing...
     with: Kim, J.: Textual Explanations for Self-Driving Vehicles
     with: Kim, V.: Multi-content GAN for Few-Shot Font Style Transfer
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     with: Klein, D.: Neural Module Networks
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     with: Kraehenbuehl, P.: Joint Monocular 3D Vehicle Detection and Tracking
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     with: Krishnan, A.: Proceedings of the Workshop on 3D Geometry Generation fo...
     with: Kulis, B.: Adapting Visual Category Models to New Domains
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     with: Lee, J.J.: Fast concurrent object classification and localization
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     with: Levi, E.: Spatio-Temporal Action Graph Networks
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     with: Li, B.: Self-Supervised Pretraining Improves Self-Supervised Pretraining
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     with: Li, D.S.: Learning Invariant Representations and Risks for Semi-superv...
     with: Li, H.: Learning to Listen: Modeling Non-Deterministic Dyadic Facial M...
     with: Li, H.: Watch Those Words: Video Falsification Detection Using Word-Co...
     with: Li, Q.: Quasi-Dense Similarity Learning for Multiple Object Tracking
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     with: Li, X.: Quasi-Dense Similarity Learning for Multiple Object Tracking
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     with: Liu, F.C.: BDD100K: A Diverse Driving Dataset for Heterogeneous Multit...
     with: Liu, X.H.: Back to the Source: Diffusion-Driven Adaptation to Test-Tim...
     with: Liu, X.H.: More Control for Free! Image Synthesis with Semantic Diffus...
     with: Liu, X.H.: Shape-Guided Diffusion with Inside-Outside Attention
     with: Liu, Z.: ConvNet for the 2020s, A
     with: Liu, Z.: Exploring Simple and Transferable Recognition-Aware Image Pro...
     with: Liu, Z.: Few-Shot Object Detection via Feature Reweighting
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     with: Livescu, K.: Multistream Articulatory Feature-Based Models for Visual ...
     with: Livescu, K.: Visual Speech Recognition with Loosely Synchronized Featu...
     with: Long, J.: Fully Convolutional Networks for Semantic Segmentation
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     with: Madhavan, V.: BDD100K: A Diverse Driving Dataset for Heterogeneous Mul...
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     with: Mooney, R.: Captioning Images with Diverse Objects
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     with: Morariu, V.I.: Birdlets: Subordinate categorization using volumetric p...
     with: Morency, L.P.: Adaptive view-based appearance models
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     with: Paluri, M.: PANDA: Pose Aligned Networks for Deep Attribute Modeling
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     with: Petryk, S.: Simple Token-Level Confidence Improves Caption Correctness
     with: Pisarenco, M.: Proceedings of the Workshop on 3D Geometry Generation f...
     with: Qiu, L.: QDTrack: Quasi-Dense Similarity Learning for Appearance-Only ...
     with: Qiu, L.: Quasi-Dense Similarity Learning for Multiple Object Tracking
     with: Quattoni, A.: Hidden Conditional Random Fields
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     with: Quattoni, A.: Learning Visual Representations using Images with Captions
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     with: Rahimi, A.: 3D Pose Tracking with Linear Depth and Brightness Constrai...
     with: Rahimi, A.: Adaptive view-based appearance models
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     with: Rahimi, A.: Fast 3D model acquisition from stereo images
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     with: Rahimi, A.: Learning to Transform Time Series with a Few Examples
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     with: Rahimi, A.: Reducing Drift in Parametric Motion Tracking
     with: Rahimi, A.: Simultaneous calibration and tracking with a network of no...
     with: Raj, A.: Proceedings of the Workshop on 3D Geometry Generation for Sci...
     with: Rakelly, K.: Clockwork Convnets for Video Semantic Segmentation
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     with: Reed, C.J.: Self-Supervised Pretraining Improves Self-Supervised Pretr...
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     with: Rodner, E.: Exemplar-Specific Patch Features for Fine-Grained Recognit...
     with: Rodner, E.: Generalized Orderless Pooling Performs Implicit Salient Ma...
     with: Rodner, E.: Semi-supervised Domain Adaptation with Instance Constraints
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     with: Rohrbach, A.: Adversarial Inference for Multi-Sentence Video Description
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     with: Rohrbach, A.: DETReg: Unsupervised Pretraining with Region Priors for ...
     with: Rohrbach, A.: Fooling Vision and Language Models Despite Localization ...
     with: Rohrbach, A.: Grounding of Textual Phrases in Images by Reconstruction
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     with: Rohrbach, A.: More Control for Free! Image Synthesis with Semantic Dif...
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     with: Rohrbach, A.: Revisiting Generalizability in Deepfake Detection: Impro...
     with: Rohrbach, A.: Robust Change Captioning
     with: Rohrbach, A.: Shape-Guided Diffusion with Inside-Outside Attention
     with: Rohrbach, A.: Simple Token-Level Confidence Improves Caption Correctness
     with: Rohrbach, A.: Textual Explanations for Self-Driving Vehicles
     with: Rohrbach, A.: TL;DW? Summarizing Instructional Videos with Task Releva...
     with: Rohrbach, A.: Watch Those Words: Video Falsification Detection Using W...
     with: Rohrbach, A.: Women Also Snowboard: Overcoming Bias in Captioning Models
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     with: Rohrbach, M.: Deep Compositional Captioning: Describing Novel Object C...
     with: Rohrbach, M.: Generating Visual Explanations
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     with: Rohrbach, M.: Learning to Reason: End-to-End Module Networks for Visua...
     with: Rohrbach, M.: Long-Term Recurrent Convolutional Networks for Visual Re...
     with: Rohrbach, M.: Modeling Relationships in Referential Expressions with C...
     with: Rohrbach, M.: Multimodal Explanations: Justifying Decisions and Pointi...
     with: Rohrbach, M.: Natural Language Object Retrieval
     with: Rohrbach, M.: Neural Module Networks
     with: Rohrbach, M.: Reliable Visual Question Answering: Abstain Rather Than ...
     with: Rohrbach, M.: Segmentation from Natural Language Expressions
     with: Rohrbach, M.: Sequence to Sequence -- Video to Text
     with: Rohrbach, M.: Simple Token-Level Confidence Improves Caption Correctness
     with: Rohrbach, M.: Spatial Semantic Regularisation for Large Scale Object D...
     with: Rubinstein, M.: TL;DW? Summarizing Instructional Videos with Task Rele...
     with: Rudzicz, F.: Proceedings of the Workshop on 3D Geometry Generation for...
     with: Russell, B.: Localizing Moments in Video with Natural Language
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     with: Saenko, K.: Adapting Visual Category Models to New Domains
     with: Saenko, K.: Adversarial Discriminative Domain Adaptation
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     with: Saenko, K.: category-level 3-D object dataset: Putting the Kinect to w...
     with: Saenko, K.: Continuous Manifold Based Adaptation for Evolving Visual D...
     with: Saenko, K.: Deep Compositional Captioning: Describing Novel Object Cat...
     with: Saenko, K.: Detector discovery in the wild: Joint multiple instance an...
     with: Saenko, K.: Discovering Latent Domains for Multisource Domain Adaptation
     with: Saenko, K.: Explainable Neural Computation via Stack Neural Module Net...
     with: Saenko, K.: From pixels to physics: Probabilistic color de-rendering
     with: Saenko, K.: Language-Conditioned Graph Networks for Relational Reasoning
     with: Saenko, K.: Learning object color models from multi-view constraints
     with: Saenko, K.: Learning to Detect Every Thing in an Open World
     with: Saenko, K.: Learning to Reason: End-to-End Module Networks for Visual ...
     with: Saenko, K.: Long-Term Recurrent Convolutional Networks for Visual Reco...
     with: Saenko, K.: Modeling Radiometric Uncertainty for Vision with Tone-Mapp...
     with: Saenko, K.: Modeling Relationships in Referential Expressions with Com...
     with: Saenko, K.: Multistream Articulatory Feature-Based Models for Visual S...
     with: Saenko, K.: Natural Language Object Retrieval
     with: Saenko, K.: NBNN kernel, The
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     with: Saenko, K.: Semi-supervised Domain Adaptation with Instance Constraints
     with: Saenko, K.: Sequence to Sequence -- Video to Text
     with: Saenko, K.: Simultaneous Deep Transfer Across Domains and Tasks
     with: Saenko, K.: Spatial Semantic Regularisation for Large Scale Object Det...
     with: Saenko, K.: Temporal Action Detection with Multi-level Supervision
     with: Saenko, K.: Tune it the Right Way: Unsupervised Validation of Domain A...
     with: Saenko, K.: Visual Speech Recognition with Loosely Synchronized Featur...
     with: Saenko, K.: What you saw is not what you get: Domain adaptation using ...
     with: Saenko, K.: Women Also Snowboard: Overcoming Bias in Captioning Models
     with: Saenko, K.: YouTube2Text: Recognizing and Describing Arbitrary Activit...
     with: Saito, K.: Learning to Detect Every Thing in an Open World
     with: Saito, K.: Semi-Supervised Domain Adaptation via Minimax Entropy
     with: Saito, K.: Tune it the Right Way: Unsupervised Validation of Domain Ad...
     with: Salzmann, M.: Learning cross-modality similarity for multinomial data
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     with: Scharstein, D.: Modeling Radiometric Uncertainty for Vision with Tone-...
     with: Scherock, S.: Simple Range Cameras Based on Focal Error
     with: Schiele, B.: Generating Visual Explanations
     with: Schiele, B.: Grounding of Textual Phrases in Images by Reconstruction
     with: Schiele, B.: Multimodal Explanations: Justifying Decisions and Pointin...
     with: Schmid, C.: TL;DW? Summarizing Instructional Videos with Task Relevanc...
     with: Schmidt, L.: Predicting with Confidence on Unseen Distributions
     with: Schonfeld, E.: Generalized Zero- and Few-Shot Learning via Aligned Var...
     with: Schoonbeek, T.J.: Proceedings of the Workshop on 3D Geometry Generatio...
     with: Sclaroff, S.: Segmentation by Minimal Description
     with: Sclaroff, S.: Semi-Supervised Domain Adaptation via Minimax Entropy
     with: Sclaroff, S.: Tune it the Right Way: Unsupervised Validation of Domain...
     with: Sebe, N.: Guest Editors' Introduction to the Special Section on Learni...
     with: Shakhnarovich, G.: Avoiding the Streetlight Effect: Tracking by Explor...
     with: Shakhnarovich, G.: Bayesian approach to image-based visual hull recons...
     with: Shakhnarovich, G.: Conditional Random People: Tracking Humans with CRF...
     with: Shakhnarovich, G.: Face Recognition from Long-Term Observations
     with: Shakhnarovich, G.: Face Recognition with Image Sets Using Manifold Den...
     with: Shakhnarovich, G.: Fast Pose Estimation with Parameter-Sensitive Hashing
     with: Shakhnarovich, G.: Inferring 3D Structure with a Statistical Image-Bas...
     with: Shakhnarovich, G.: Integrated Face and Gait Recognition from Multiple ...
     with: Shakhnarovich, G.: On probabilistic combination of face and gait cues ...
     with: Shakhnarovich, G.: Virtual Visual Hulls: Example-Based 3D Shape Estima...
     with: Shakhnarovich, G.: Virtual Visual Hulls: Example-Based 3D Shape Infere...
     with: Shakib, V.: Reliable Visual Question Answering: Abstain Rather Than An...
     with: Shamir, A.: PromptonomyViT: Multi-Task Prompt Learning Improves Video ...
     with: Shankar, V.: Predicting with Confidence on Unseen Distributions
     with: Shechtman, E.: Localizing Moments in Video with Natural Language
     with: Shechtman, E.: Multi-content GAN for Few-Shot Font Style Transfer
     with: Shelhamer, E.: Back to the Source: Diffusion-Driven Adaptation to Test...
     with: Shelhamer, E.: Clockwork Convnets for Video Semantic Segmentation
     with: Shelhamer, E.: Deep Layer Aggregation
     with: Shelhamer, E.: Exploring Simple and Transferable Recognition-Aware Ima...
     with: Shelhamer, E.: Fully Convolutional Networks for Semantic Segmentation
     with: Shelhamer, E.: Scene Intrinsics and Depth from a Single Image
     with: Shelhamer, E.: Zero-Shot Visual Imitation
     with: Shen, S.: Multitask Vision-Language Prompt Tuning
     with: Shen, Z.Q.: Exploring Simple and Transferable Recognition-Aware Image ...
     with: Shentu, F.: Zero-Shot Visual Imitation
     with: Shentu, Y.: Learning Instance Segmentation by Interaction
     with: Shi, B.F.: Temporal Action Detection with Multi-level Supervision
     with: Shi, B.F.: Top-Down Visual Attention from Analysis by Synthesis
     with: Shi, B.F.: Weakly-supervised Action Localization with Expectation-maxi...
     with: Shi, H.: More Control for Free! Image Synthesis with Semantic Diffusio...
     with: Shyr, A.: Supervised hierarchical Pitman-Yor process for natural scene...
     with: Sidner, C.: Head gestures for perceptual interfaces: The role of conte...
     with: Simon, M.: Generalized Orderless Pooling Performs Implicit Salient Mat...
     with: Simon, M.: Whole Is More Than Its Parts? From Explicit to Implicit Pos...
     with: Simoncelli, E.P.: Nulling Filters and the Separation of Transparent Mo...
     with: Simoncelli, E.P.: On the Use of Nulling Filters to Separate Transparen...
     with: Simoncelli, E.P.: Separation of Transparent Motion into Layers Using V...
     with: Singh, A.: Iterative Answer Prediction With Pointer-Augmented Multimod...
     with: Singh, A.: Seeing the Un-scene: Learning Amodal Semantic Maps for Room...
     with: Sinha, S.: Generalized Zero- and Few-Shot Learning via Aligned Variati...
     with: Sinha, S.: Variational Adversarial Active Learning
     with: Siracusa, M.: Visual Speech Recognition with Loosely Synchronized Feat...
     with: Sivic, J.: Localizing Moments in Video with Natural Language
     with: Song, D.: Fooling Vision and Language Models Despite Localization and ...
     with: Song, H.O.: Generalized Sparselet Models for Real-Time Multiclass Obje...
     with: Song, H.O.: Sparselet Models for Efficient Multiclass Object Detection
     with: Song, H.O.: Visual grasp affordances from appearance-based cues
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     with: Sridhar, S.: Proceedings of the Workshop on 3D Geometry Generation for...
     with: Srinivas, A.: SelfAugment: Automatic Augmentation Policies for Self-Su...
     with: Starner, T.E.: Perceptive Spaces for Performance and Entertainment: Un...
     with: Stiefelhagen, R.: Rank Priors for Continuous Non-Linear Dimensionality...
     with: Stone, Z.: Autotagging Facebook: Social network context improves photo...
     with: Stone, Z.: Toward Large-Scale Face Recognition Using Social Network Co...
     with: Subramanian, S.: Can Language Models Learn to Listen?
     with: Sun, B.: Modeling Radiometric Uncertainty for Vision with Tone-Mapped ...
     with: Sun, C.: TL;DW? Summarizing Instructional Videos with Task Relevance a...
     with: Sun, M.: Joint Monocular 3D Vehicle Detection and Tracking
     with: Sun, M.: Monocular Quasi-Dense 3D Object Tracking
     with: Sundberg, P.: Pose Estimation Using 3D View-Based Eigenspaces
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     with: Taycher, L.: Combining Object and Feature Dynamics in Probabilistic Tr...
     with: Taycher, L.: Combining Simple Models to Approximate Complex Dynamics
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     with: Taycher, L.: Range-based Foreground Detection Using Visibility Constra...
     with: Teterwak, P.: Tune it the Right Way: Unsupervised Validation of Domain...
     with: Thakkar, N.: Studying Bias in GANs Through the Lens of Race
     with: Tollmar, K.: Activity maps for location-aware computing
     with: Tollmar, K.: Searching the web with mobile images for location recogni...
     with: Toste, C.: Shape-Guided Diffusion with Inside-Outside Attention
     with: Trentacoste, M.: Recognizing Image Style
     with: Tseng, N.: Proceedings of the Workshop on 3D Geometry Generation for S...
     with: Turk, M.: Simple, Real-Time Range Camera, A
     with: Tuytelaars, T.: NBNN kernel, The
     with: Tzeng, E.: Adversarial Discriminative Domain Adaptation
     with: Tzeng, E.: Continuous Manifold Based Adaptation for Evolving Visual Do...
     with: Tzeng, E.: Simultaneous Deep Transfer Across Domains and Tasks
     with: Urtasun, R.: Active Learning with Gaussian Processes for Object Catego...
     with: Urtasun, R.: Co-training with noisy perceptual observations
     with: Urtasun, R.: Gaussian Processes for Object Categorization
     with: Urtasun, R.: Learning to Recognize Objects from Unseen Modalities
     with: Urtasun, R.: Rank Priors for Continuous Non-Linear Dimensionality Redu...
     with: Urtasun, R.: Sparse probabilistic regression for activity-independent ...
     with: Urtasun, R.: Supervised hierarchical Pitman-Yor process for natural sc...
     with: Urtasun, R.: Transferring Nonlinear Representations using Gaussian Pro...
     with: Urtasun, R.: Unsupervised feature selection via distributed coding for...
     with: Uyttendaele, M.T.: Scale-MAE: A Scale-Aware Masked Autoencoder for Mul...
     with: van der Sommen, F.: Proceedings of the Workshop on 3D Geometry Generat...
     with: Venugopalan, S.: Captioning Images with Diverse Objects
     with: Venugopalan, S.: Deep Compositional Captioning: Describing Novel Objec...
     with: Venugopalan, S.: Long-Term Recurrent Convolutional Networks for Visual...
     with: Venugopalan, S.: Sequence to Sequence -- Video to Text
     with: Venugopalan, S.: YouTube2Text: Recognizing and Describing Arbitrary Ac...
     with: Vijaykumar, V.: Self-Supervised Pretraining Improves Self-Supervised P...
     with: Vincentelli, A.S.: Prototypical Cross-domain Self-supervised Learning ...
     with: Viola, P.A.: Fast Pose Estimation with Parameter-Sensitive Hashing
     with: Wan, F.: Weakly-supervised Action Localization with Expectation-maximi...
     with: Wang, C.: Proceedings of the Workshop on 3D Geometry Generation for Sc...
     with: Wang, D.: Back to the Source: Diffusion-Driven Adaptation to Test-Time...
     with: Wang, D.: Contrastive Test-Time Adaptation
     with: Wang, D.: Joint Monocular 3D Vehicle Detection and Tracking
     with: Wang, D.Q.: Deep Layer Aggregation
     with: Wang, H.J.: Exploring Simple and Transferable Recognition-Aware Image ...
     with: Wang, O.: Localizing Moments in Video with Natural Language
     with: Wang, R.: Disentangling Propagation and Generation for Video Prediction
     with: Wang, R.: TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
     with: Wang, S.: Hidden Conditional Random Fields
     with: Wang, X.: BDD100K: A Diverse Driving Dataset for Heterogeneous Multita...
     with: Wang, X.: DETReg: Unsupervised Pretraining with Region Priors for Obje...
     with: Wang, X.: Few-Shot Object Detection via Feature Reweighting
     with: Wang, X.: Learning Saliency Propagation for Semi-Supervised Instance S...
     with: Wang, X.: Robust Object Detection via Instance-Level Temporal Cycle Co...
     with: Wang, X.: SkipNet: Learning Dynamic Routing in Convolutional Networks
     with: Wang, X.: Something-Else: Compositional Action Recognition With Spatia...
     with: Wang, X.: Spatio-Temporal Action Graph Networks
     with: Wang, X.: TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
     with: Wang, X.: Top-Down Visual Attention from Analysis by Synthesis
     with: Wang, X.L.: Hierarchical Style-based Networks for Motion Synthesis
     with: Wang, X.L.: Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot...
     with: Wang, X.L.: Region Similarity Representation Learning
     with: Wang, X.L.: Rethinking preventing class-collapsing in metric learning ...
     with: Wang, X.L.: Robust Object Detection via Instance-Level Temporal Cycle ...
     with: Wang, Y.: Proceedings of the Workshop on 3D Geometry Generation for Sc...
     with: Wang, Y.Z.: Learning Invariant Representations and Risks for Semi-supe...
     with: Wang, Z.: Multi-content GAN for Few-Shot Font Style Transfer
     with: Weber, E.: Studying Bias in GANs Through the Lens of Race
     with: Whitehead, S.: Reliable Visual Question Answering: Abstain Rather Than...
     with: Whitehead, S.: Simple Token-Level Confidence Improves Caption Correctn...
     with: Wijmans, E.: Seeing the Un-scene: Learning Amodal Semantic Maps for Ro...
     with: Wilson, K.: Visual Speech Recognition with Loosely Synchronized Featur...
     with: Winnemoeller, H.: Recognizing Image Style
     with: Wohn, K.: Depth from Focus Using a Pyramid Architecture
     with: Wohn, K.: Pyramid Based Depth from Focus
     with: Woodfill, J.I.: 3D Pose Tracking with Linear Depth and Brightness Cons...
     with: Woodfill, J.I.: Background Estimation and Removal Based on Range and C...
     with: Woodfill, J.I.: Background estimation and segmentation based on range ...
     with: Woodfill, J.I.: Integrated Person Tracking Using Stereo, Color, and Pa...
     with: Woodfill, J.I.: Magic Morphin' Mirror: Person Detection and Tracking
     with: Woodfill, J.I.: Method and apparatus for personnel detection and track...
     with: Woodfill, J.I.: Robust, Real-Time People Tracking in Open Environments...
     with: Woodfill, J.I.: Virtual Mirror Interface Using Real-Time Robust Face T...
     with: Wren, C.R.: Perceptive Spaces for Performance and Entertainment: Untet...
     with: Wren, C.R.: Pfinder: Real-Time Tracking of the Human Body
     with: Wu, C.Y.: ConvNet for the 2020s, A
     with: Wu, T.: Proceedings of the Workshop on 3D Geometry Generation for Scie...
     with: Wu, Y.: Guest Editors' Introduction to the Special Section on Learning...
     with: Xian, W.Q.: BDD100K: A Diverse Driving Dataset for Heterogeneous Multi...
     with: Xiao, T.: Region Similarity Representation Learning
     with: Xiao, T.: Rethinking preventing class-collapsing in metric learning wi...
     with: Xiao, T.: Something-Else: Compositional Action Recognition With Spatia...
     with: Xie, S.N.: ConvNet for the 2020s, A
     with: Xiong, Y.: From pixels to physics: Probabilistic color de-rendering
     with: Xiong, Y.: Learning object color models from multi-view constraints
     with: Xiong, Y.: Modeling Radiometric Uncertainty for Vision with Tone-Mappe...
     with: Xu, D.: Guest Editor's Introduction to the Special Issue on Domain Ada...
     with: Xu, H.: End-to-End Learning of Driving Models from Large-Scale Video D...
     with: Xu, H.: Something-Else: Compositional Action Recognition With Spatial-...
     with: Xu, H.: Spatio-Temporal Action Graph Networks
     with: Xu, H.J.: Learning Canonical Representations for Scene Graph to Image ...
     with: Xu, H.J.: Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot L...
     with: Xu, H.J.: Temporal Action Detection with Multi-level Supervision
     with: Xu, H.J.: Weakly-supervised Action Localization with Expectation-maxim...
     with: Xu, H.Z.: Disentangling Propagation and Generation for Video Prediction
     with: Xu, H.Z.: Hierarchical Style-based Networks for Motion Synthesis
     with: Xu, H.Z.: Natural Language Object Retrieval
     with: Xu, J.W.: Hierarchical Style-based Networks for Motion Synthesis
     with: Xu, X.J.: Fooling Vision and Language Models Despite Localization and ...
     with: Yan, S.C.: Learning Scalable Discriminative Dictionary with Sample Rel...
     with: Yan, Y.: Guest Editors' Introduction to the Special Section on Learnin...
     with: Yang, L.: Exploring Simple and Transferable Recognition-Aware Image Pr...
     with: Yang, S.: Multitask Vision-Language Prompt Tuning
     with: Yang, X.K.: Hierarchical Style-based Networks for Motion Synthesis
     with: Yang, X.K.: Proceedings of the Workshop on 3D Geometry Generation for ...
     with: Yang, Y.H.: Monocular Quasi-Dense 3D Object Tracking
     with: Yao, J.W.: Proceedings of the Workshop on 3D Geometry Generation for S...
     with: Yeh, T.: Adaptive Vocabulary Forests for Dynamic Indexing and Category...
     with: Yeh, T.: Dynamic visual category learning
     with: Yeh, T.: Fast concurrent object classification and localization
     with: Yeh, T.: Fast concurrent object localization and recognition
     with: Yeh, T.: Scalable classifiers for Internet vision tasks
     with: Yeh, T.: Searching the web with mobile images for location recognition
     with: Yin, Z.C.: Hierarchical Discrete Distribution Decomposition for Match ...
     with: Young, D.: Proceedings of the Workshop on 3D Geometry Generation for S...
     with: Yu, F.: BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask...
     with: Yu, F.: Deep Layer Aggregation
     with: Yu, F.: Disentangling Propagation and Generation for Video Prediction
     with: Yu, F.: End-to-End Learning of Driving Models from Large-Scale Video D...
     with: Yu, F.: Few-Shot Object Detection via Feature Reweighting
     with: Yu, F.: Hierarchical Discrete Distribution Decomposition for Match Den...
     with: Yu, F.: Joint Monocular 3D Vehicle Detection and Tracking
     with: Yu, F.: Learning Saliency Propagation for Semi-Supervised Instance Seg...
     with: Yu, F.: Monocular Quasi-Dense 3D Object Tracking
     with: Yu, F.: QDTrack: Quasi-Dense Similarity Learning for Appearance-Only M...
     with: Yu, F.: Quasi-Dense Similarity Learning for Multiple Object Tracking
     with: Yu, F.: Robust Object Detection via Instance-Level Temporal Cycle Conf...
     with: Yu, F.: SkipNet: Learning Dynamic Routing in Convolutional Networks
     with: Yu, F.: TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
     with: Yue, X.Y.: Prototypical Cross-domain Self-supervised Learning for Few-...
     with: Yue, X.Y.: Self-Supervised Pretraining Improves Self-Supervised Pretra...
     with: Zhai, B.: Multitask Vision-Language Prompt Tuning
     with: Zhang, G.: More Control for Free! Image Synthesis with Semantic Diffus...
     with: Zhang, J.L.: Back to the Source: Diffusion-Driven Adaptation to Test-T...
     with: Zhang, N.: Birdlets: Subordinate categorization using volumetric primi...
     with: Zhang, N.: Compact Bilinear Pooling
     with: Zhang, N.: Deformable Part Descriptors for Fine-Grained Recognition an...
     with: Zhang, N.: PANDA: Pose Aligned Networks for Deep Attribute Modeling
     with: Zhang, N.: Part-Based R-CNNs for Fine-Grained Category Detection
     with: Zhang, N.: Pose pooling kernels for sub-category recognition
     with: Zhang, S.H.: Learning Invariant Representations and Risks for Semi-sup...
     with: Zhang, S.H.: Prototypical Cross-domain Self-supervised Learning for Fe...
     with: Zhang, S.H.: Self-Supervised Pretraining Improves Self-Supervised Pret...
     with: Zhang, T.J.: Multitask Vision-Language Prompt Tuning
     with: Zhang, X.L.: Proceedings of the Workshop on 3D Geometry Generation for...
     with: Zhao, H.: Learning Invariant Representations and Risks for Semi-superv...
     with: Zhao, T.: Exploring Simple and Transferable Recognition-Aware Image Pr...
     with: Zheng, Z.W.: Prototypical Cross-domain Self-supervised Learning for Fe...
     with: Zhou, T.H.: Exploring Simple and Transferable Recognition-Aware Image ...
     with: Zhou, Y.: Learning Saliency Propagation for Semi-Supervised Instance S...
     with: Zickler, S.: Generalized Sparselet Models for Real-Time Multiclass Obj...
     with: Zickler, S.: Sparselet Models for Efficient Multiclass Object Detection
     with: Zickler, T.E.: Autotagging Facebook: Social network context improves p...
     with: Zickler, T.E.: From pixels to physics: Probabilistic color de-rendering
     with: Zickler, T.E.: Learning object color models from multi-view constraints
     with: Zickler, T.E.: Modeling Radiometric Uncertainty for Vision with Tone-M...
     with: Zickler, T.E.: Toward Large-Scale Face Recognition Using Social Networ...
885 for Darrell, T.J.

Darrodi, M.M. Standard Author Listing
     with: Finlayson, G.: Rank-based camera spectral sensitivity estimation
     with: Finlayson, G.: Reference data set for camera spectral sensitivity esti...
     with: Goodman, T.: Reference data set for camera spectral sensitivity estima...
     with: Mackiewicz, M.: Rank-based camera spectral sensitivity estimation
     with: Mackiewicz, M.: Reference data set for camera spectral sensitivity est...

Darrozes, J. Standard Author Listing
     with: Antoine, R.: Investigation of Short-Term Evolution of Soil Characteris...
     with: Baghdadi, N.: Automatic Detection of Inland Water Bodies along Altimet...
     with: Beirens, B.: Regional Seafloor Topography by Extended Kalman Filtering...
     with: Bellot, R.: Automatic Detection of Inland Water Bodies along Altimetry...
     with: Betbeder, J.: Automatic Detection of Inland Water Bodies along Altimet...
     with: Birol, F.: Multi-Satellite Altimeter Validation along the French Atlan...
     with: Blarel, F.: Automatic Detection of Inland Water Bodies along Altimetry...
     with: Blarel, F.: Multi-Satellite Altimeter Validation along the French Atla...
     with: Bonnefond, P.: Multi-Satellite Altimeter Validation along the French A...
     with: Bonneton, P.: Identifying 2010 Xynthia Storm Signature in GNSS-R-Based...
     with: Bourrel, L.: Automatic Detection of Inland Water Bodies along Altimetr...
     with: Cui, Y.J.: Investigation of Short-Term Evolution of Soil Characteristi...
     with: Dufrechou, G.: Identifying 2010 Xynthia Storm Signature in GNSS-R-Base...
     with: Forootan, E.: Recovery of Rapid Water Mass Changes (RWMC) by Kalman Fi...
     with: Frappart, F.: Automatic Detection of Inland Water Bodies along Altimet...
     with: Frappart, F.: Identifying 2010 Xynthia Storm Signature in GNSS-R-Based...
     with: Frappart, F.: Multi-Satellite Altimeter Validation along the French At...
     with: Frappart, F.: Recovery of Rapid Water Mass Changes (RWMC) by Kalman Fi...
     with: Frappart, F.: Regional Seafloor Topography by Extended Kalman Filterin...
     with: Gao, F.: Robust Kalman Filter Soil Moisture Inversion Model Using GPS ...
     with: Gegout, P.: Identifying 2010 Xynthia Storm Signature in GNSS-R-Based T...
     with: Gond, V.: Automatic Detection of Inland Water Bodies along Altimetry T...
     with: Ha, M.C.: Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tid...
     with: Hong, X.B.: Robust Kalman Filter Soil Moisture Inversion Model Using G...
     with: Jing, L.: Robust Kalman Filter Soil Moisture Inversion Model Using GPS...
     with: Kerr, Y.: Investigation of Short-Term Evolution of Soil Characteristic...
     with: Lopez, T.: Investigation of Short-Term Evolution of Soil Characteristi...
     with: Lu, Y.L.: Robust Kalman Filter Soil Moisture Inversion Model Using GPS...
     with: Marieu, V.: Multi-Satellite Altimeter Validation along the French Atla...
     with: Morichon, D.: Identifying 2010 Xynthia Storm Signature in GNSS-R-Based...
     with: Ramillien, G.: Identifying 2010 Xynthia Storm Signature in GNSS-R-Base...
     with: Ramillien, G.: Innovative Slepian Approach to Invert GRACE KBRR for Lo...
     with: Ramillien, G.: Investigation of Short-Term Evolution of Soil Character...
     with: Ramillien, G.: Multi-Satellite Altimeter Validation along the French A...
     with: Ramillien, G.: Recovery of Rapid Water Mass Changes (RWMC) by Kalman F...
     with: Ramillien, G.: Regional Seafloor Topography by Extended Kalman Filteri...
     with: Rouxel, D.: Regional Seafloor Topography by Extended Kalman Filtering ...
     with: Ruan, H.L.: Robust Kalman Filter Soil Moisture Inversion Model Using G...
     with: Salaun, C.: Regional Seafloor Topography by Extended Kalman Filtering ...
     with: Schmitt, T.: Regional Seafloor Topography by Extended Kalman Filtering...
     with: Schumacher, M.: Recovery of Rapid Water Mass Changes (RWMC) by Kalman ...
     with: Seoane, L.: Innovative Slepian Approach to Invert GRACE KBRR for Local...
     with: Seoane, L.: Recovery of Rapid Water Mass Changes (RWMC) by Kalman Filt...
     with: Seoane, L.: Regional Seafloor Topography by Extended Kalman Filtering ...
     with: Seyler, F.: Automatic Detection of Inland Water Bodies along Altimetry...
     with: Sun, B.: Robust Kalman Filter Soil Moisture Inversion Model Using GPS ...
     with: Vu, P.L.: Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tid...
     with: Vu, P.L.: Multi-Satellite Altimeter Validation along the French Atlant...
     with: Wang, N.Z.: Robust Kalman Filter Soil Moisture Inversion Model Using G...
     with: Xu, T.H.: Robust Kalman Filter Soil Moisture Inversion Model Using GPS...
     with: Yang, D.K.: Robust Kalman Filter Soil Moisture Inversion Model Using G...
     with: Yang, L.: Robust Kalman Filter Soil Moisture Inversion Model Using GPS...
     with: Yang, W.T.: Robust Kalman Filter Soil Moisture Inversion Model Using G...
     with: Zeiger, P.: Automatic Detection of Inland Water Bodies along Altimetry...
56 for Darrozes, J.

Index for "d"


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