Jamp, R.M.
Standard Author Listing
with: Vincent, K.D.: Method and apparatus for extracting information from fo...
Jampala, R.
Standard Author Listing
with: Adhikari, R.: Automatic delineation of macular regions based on a loca...
with: Kamath, Y.: Automatic delineation of macular regions based on a locall...
with: Kumar, J.R.H.: Automatic delineation of macular regions based on a loc...
with: Seelamantula, C.S.: Automatic delineation of macular regions based on ...
Jampana, P.
Standard Author Listing
with: Naidu, R.R.: Composition of Binary Compressed Sensing Matrices
with: Sasmal, P.: Composition of Binary Compressed Sensing Matrices
with: Sasmal, P.: Construction of Binary Matrices as a Union of Orthogonal B...
with: Sasmal, P.: Nullspace Property for Optimality of Minimum Frame Angle U...
with: Sastry, C.S.: Composition of Binary Compressed Sensing Matrices
with: Sastry, C.S.: Construction of Binary Matrices as a Union of Orthogonal...
with: Sastry, C.S.: Nullspace Property for Optimality of Minimum Frame Angle...
with: Shah, S.: image differencing method for interface level detection in s...
with: Theeda, P.: Nullspace Property for Optimality of Minimum Frame Angle U...
9 for Jampana, P.
Jampana, P.V.
Standard Author Listing
with: Kumar, P.U.P.: Optimization of Low-Dose Tomography via Binary Sensing ...
with: Sastry, C.S.: Optimization of Low-Dose Tomography via Binary Sensing M...
with: Theeda, P.: Optimization of Low-Dose Tomography via Binary Sensing Mat...
Jampani, V.
Standard Author Listing
with: Aberman, K.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Aberman, K.: DreamBooth: Fine Tuning Text-to-Image Diffusion Models fo...
with: Acuna, D.: Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
with: Acuna, D.: Training Deep Networks with Synthetic Data: Bridging the Re...
with: Agrawal, S.: Hierarchical Semantic Regularization of Latent Spaces in ...
with: Agrawal, S.: LEAD: Self-Supervised Landmark Estimation by Aligning Dis...
with: Akula, A.R.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: Alhaija, H.A.: Intrinsic Autoencoders for Joint Deferred Neural Render...
with: Anil, C.: Training Deep Networks with Synthetic Data: Bridging the Rea...
with: Atrishi, A.: LEAD: Self-Supervised Landmark Estimation by Aligning Dis...
with: Babu, R.V.: Appearance Consensus Driven Self-supervised Human Mesh Rec...
with: Babu, R.V.: Concurrent Subsidiary Supervision for Unsupervised Source-...
with: Babu, R.V.: From Image Collections to Point Clouds With Self-Supervise...
with: Babu, R.V.: Generalize then Adapt: Source-Free Domain Adaptive Semanti...
with: Babu, R.V.: Hierarchical Semantic Regularization of Latent Spaces in S...
with: Babu, R.V.: Improving GANs for Long-Tailed Data Through Group Spectral...
with: Babu, R.V.: LEAD: Self-Supervised Landmark Estimation by Aligning Dist...
with: Babu, R.V.: NoisyTwins: Class-Consistent and Diverse Image Generation ...
with: Babu, R.V.: Self-Supervised 3D Human Pose Estimation via Part Guided N...
with: Babu, R.V.: Uncertainty-Aware Adaptation for Self-Supervised 3D Human ...
with: Balles, L.: Competitive Collaboration: Joint Unsupervised Learning of ...
with: Bansal, L.: NoisyTwins: Class-Consistent and Diverse Image Generation ...
with: Barron, J.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Barron, J.T.: NeRD: Neural Reflectance Decomposition from Image Collec...
with: Basu, S.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: Bhambri, S.: Concurrent Subsidiary Supervision for Unsupervised Source...
with: Birchfield, S.: Training Deep Networks with Synthetic Data: Bridging t...
with: Black, M.J.: Competitive Collaboration: Joint Unsupervised Learning of...
with: Black, M.J.: On the Integration of Optical Flow and Action Recognition
with: Black, M.J.: Optical Flow with Semantic Segmentation and Localized Lay...
with: Boochoon, S.: Training Deep Networks with Synthetic Data: Bridging the...
with: Boss, M.: NeRD: Neural Reflectance Decomposition from Image Collections
with: Boss, M.: Two-Shot Spatially-Varying BRDF and Shape Estimation
with: Braun, R.: NeRD: Neural Reflectance Decomposition from Image Collections
with: Brophy, M.: Training Deep Networks with Synthetic Data: Bridging the R...
with: Cameracci, E.: Training Deep Networks with Synthetic Data: Bridging th...
with: Chakraborty, A.: Self-Supervised 3D Human Pose Estimation via Part Gui...
with: Chakraborty, A.: Uncertainty-Aware Adaptation for Self-Supervised 3D H...
with: Chang, H.: AutoFlow: Learning a Better Training Set for Optical Flow
with: Chang, H.: SLIDE: Single Image 3D Photography with Soft Layering and D...
with: Changpinyo, S.: MetaCLUE: Towards Comprehensive Visual Metaphors Resea...
with: Cheng, Z.: LU-NeRF: Scene and Pose Estimation by Synchronizing Local U...
with: Chien, S.: Learning Superpixels with Segmentation-Aware Affinity Loss
with: Curless, B.: SLIDE: Single Image 3D Photography with Soft Layering and...
with: Damle, S.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: de Mello, S.: Self-supervised Single-view 3d Reconstruction via Semant...
with: de Mello, S.: Self-Supervised Viewpoint Learning From Image Collections
with: de Mello, S.: Switchable Temporal Propagation Network
with: Driscoll, B.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: Eckart, B.: DeepGMR: Learning Latent Gaussian Mixture Models for Regis...
with: Esteves, C.: ASIC: Aligning Sparse in-the-wild Image Collections
with: Esteves, C.: LU-NeRF: Scene and Pose Estimation by Synchronizing Local...
with: Fidler, S.: Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
with: Fox, D.: DeepGMR: Learning Latent Gaussian Mixture Models for Registra...
with: Freeman, W.T.: AutoFlow: Learning a Better Training Set for Optical Flow
with: Freeman, W.T.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: Freeman, W.T.: SLIDE: Single Image 3D Photography with Soft Layering a...
with: Gadde, R.: Efficient 2D and 3D Facade Segmentation Using Auto-Context
with: Gadde, R.: Efficient Facade Segmentation Using Auto-context
with: Gadde, R.: Semantic Video CNNs Through Representation Warping
with: Gadde, R.: Superpixel Convolutional Networks Using Bilateral Inceptions
with: Gadde, R.: Video Propagation Networks
with: Gallo, O.: Pixel-Adaptive Convolutional Neural Networks
with: Gava, C.: SOMSI: Spherical Novel View Synthesis with Soft Occlusion Mu...
with: Gehler, P.V.: Efficient 2D and 3D Facade Segmentation Using Auto-Context
with: Gehler, P.V.: Efficient Facade Segmentation Using Auto-context
with: Gehler, P.V.: informed sampler: A discriminative approach to Bayesian ...
with: Gehler, P.V.: Learning Sparse High Dimensional Filters: Image Filterin...
with: Gehler, P.V.: Semantic Video CNNs Through Representation Warping
with: Gehler, P.V.: Superpixel Convolutional Networks Using Bilateral Incept...
with: Gehler, P.V.: Video Propagation Networks
with: Geiger, A.: Intrinsic Autoencoders for Joint Deferred Neural Rendering...
with: Geiger, A.: On the Integration of Optical Flow and Action Recognition
with: Gu, J.W.: Switchable Temporal Propagation Network
with: Guibas, L.J.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: Guney, F.: On the Integration of Optical Flow and Action Recognition
with: Gupta, K.: ASIC: Aligning Sparse in-the-wild Image Collections
with: Habtegebrial, T.: SOMSI: Spherical Novel View Synthesis with Soft Occl...
with: Harsha, S.S.: LEAD: Self-Supervised Landmark Estimation by Aligning Di...
with: Herrmann, C.: AutoFlow: Learning a Better Training Set for Optical Flow
with: Huang, Z.X.: Planes vs. Chairs: Category-Guided 3D Shape Learning With...
with: Huang, Z.X.: ShapeClipper: Scalable 3D Shape Learning from Single-View...
with: Hung, W.C.: Discovering 3D Parts from Image Collections
with: Hung, W.C.: From Image Collections to Point Clouds With Self-Supervise...
with: Hung, W.C.: Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Di...
with: Hung, W.C.: SCOPS: Self-Supervised Co-Part Segmentation
with: Iqbal, U.: Self-Supervised Viewpoint Learning From Image Collections
with: Jasti, R.: Multi-Frame Video Prediction with Learnable Motion Encodings
with: Jaswani, N.: Improving GANs for Long-Tailed Data Through Group Spectra...
with: Jia, Z.W.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: Jiang, H.: SENSE: A Shared Encoder Network for Scene-Flow Estimation
with: Jiang, H.: Super SloMo: High Quality Estimation of Multiple Intermedia...
with: Kaeser, D.: SLIDE: Single Image 3D Photography with Soft Layering and ...
with: Kalogerakis, E.: SPLATNet: Sparse Lattice Networks for Point Cloud Pro...
with: Kanazawa, A.: Infinite Nature: Perpetual View Generation of Natural Sc...
with: Kappler, D.: Superpixel Convolutional Networks Using Bilateral Incepti...
with: Kar, A.: ASIC: Aligning Sparse in-the-wild Image Collections
with: Kar, A.: LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unp...
with: Kar, A.: SLIDE: Single Image 3D Photography with Soft Layering and Dep...
with: Karmali, T.: Hierarchical Semantic Regularization of Latent Spaces in ...
with: Karmali, T.: Improving GANs for Long-Tailed Data Through Group Spectra...
with: Karmali, T.: LEAD: Self-Supervised Landmark Estimation by Aligning Dis...
with: Karmali, T.: NoisyTwins: Class-Consistent and Diverse Image Generation...
with: Kashyap, S.: From Image Collections to Point Clouds With Self-Supervis...
with: Kautz, J.: DeepGMR: Learning Latent Gaussian Mixture Models for Regist...
with: Kautz, J.: Learning Propagation for Arbitrarily-Structured Data
with: Kautz, J.: Learning Superpixels with Segmentation-Aware Affinity Loss
with: Kautz, J.: Pixel-Adaptive Convolutional Neural Networks
with: Kautz, J.: SCOPS: Self-Supervised Co-Part Segmentation
with: Kautz, J.: Self-supervised Single-view 3d Reconstruction via Semantic ...
with: Kautz, J.: Self-Supervised Viewpoint Learning From Image Collections
with: Kautz, J.: SENSE: A Shared Encoder Network for Scene-Flow Estimation
with: Kautz, J.: SPLATNet: Sparse Lattice Networks for Point Cloud Processing
with: Kautz, J.: Super SloMo: High Quality Estimation of Multiple Intermedia...
with: Kautz, J.: Superpixel Sampling Networks
with: Kautz, J.: Switchable Temporal Propagation Network
with: Kautz, J.: Two-Shot Spatially-Varying BRDF and Shape Estimation
with: Kaza, S.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Kiefel, M.: Learning Sparse High Dimensional Filters: Image Filtering,...
with: Kiefel, M.: Superpixel Convolutional Networks Using Bilateral Inceptions
with: Kim, J.: Adaptive Prototype Learning and Allocation for Few-Shot Segme...
with: Kim, J.H.: Adaptive Prototype Learning and Allocation for Few-Shot Seg...
with: Kim, K.: Competitive Collaboration: Joint Unsupervised Learning of Dep...
with: Kim, K.: DeepGMR: Learning Latent Gaussian Mixture Models for Registra...
with: Kim, K.: Two-Shot Spatially-Varying BRDF and Shape Estimation
with: Kim, K.H.: Self-supervised Single-view 3d Reconstruction via Semantic ...
with: Krainin, M.: AutoFlow: Learning a Better Training Set for Optical Flow
with: Krainin, M.: SLIDE: Single Image 3D Photography with Soft Layering and...
with: Kulkarni, A.: Concurrent Subsidiary Supervision for Unsupervised Sourc...
with: Kulkarni, A.: Generalize then Adapt: Source-Free Domain Adaptive Seman...
with: Kundu, J.N.: Appearance Consensus Driven Self-supervised Human Mesh Re...
with: Kundu, J.N.: Concurrent Subsidiary Supervision for Unsupervised Source...
with: Kundu, J.N.: Generalize then Adapt: Source-Free Domain Adaptive Semant...
with: Kundu, J.N.: Self-Supervised 3D Human Pose Estimation via Part Guided ...
with: Kundu, J.N.: Uncertainty-Aware Adaptation for Self-Supervised 3D Human...
with: Learned Miller, E.G.: Pixel-Adaptive Convolutional Neural Networks
with: Learned Miller, E.G.: SENSE: A Shared Encoder Network for Scene-Flow E...
with: Learned Miller, E.G.: Super SloMo: High Quality Estimation of Multiple...
with: Lensch, H.P.A.: NeRD: Neural Reflectance Decomposition from Image Coll...
with: Lensch, H.P.A.: Two-Shot Spatially-Varying BRDF and Shape Estimation
with: Li, G.: Adaptive Prototype Learning and Allocation for Few-Shot Segmen...
with: Li, G.: LOCATE: Localize and Transfer Object Parts for Weakly Supervis...
with: Li, X.T.: Learning Propagation for Arbitrarily-Structured Data
with: Li, X.T.: Self-supervised Single-view 3d Reconstruction via Semantic C...
with: Li, Y.Z.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Li, Y.Z.: DreamBooth: Fine Tuning Text-to-Image Diffusion Models for S...
with: Li, Y.Z.: Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Disc...
with: Li, Y.Z.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: Li, Y.Z.: ShapeClipper: Scalable 3D Shape Learning from Single-View Im...
with: Liao, Y.: On the Integration of Optical Flow and Action Recognition
with: Liu, A.: Infinite Nature: Perpetual View Generation of Natural Scenes ...
with: Liu, C.: AutoFlow: Learning a Better Training Set for Optical Flow
with: Liu, C.: NeRD: Neural Reflectance Decomposition from Image Collections
with: Liu, C.: SLIDE: Single Image 3D Photography with Soft Layering and Dep...
with: Liu, M.: Learning Superpixels with Segmentation-Aware Affinity Loss
with: Liu, M.Y.: Superpixel Sampling Networks
with: Liu, Q.: Decoupled Dynamic Filter Networks
with: Liu, S.F.: Learning Propagation for Arbitrarily-Structured Data
with: Liu, S.F.: SCOPS: Self-Supervised Co-Part Segmentation
with: Liu, S.F.: Self-supervised Single-view 3d Reconstruction via Semantic ...
with: Liu, S.F.: Self-Supervised Viewpoint Learning From Image Collections
with: Liu, S.F.: Switchable Temporal Propagation Network
with: Loper, M.: informed sampler: A discriminative approach to Bayesian inf...
with: Lv, Z.: SENSE: A Shared Encoder Network for Scene-Flow Estimation
with: Maji, S.: LU-NeRF: Scene and Pose Estimation by Synchronizing Local Un...
with: Maji, S.: SPLATNet: Sparse Lattice Networks for Point Cloud Processing
with: Makadia, A.: ASIC: Aligning Sparse in-the-wild Image Collections
with: Makadia, A.: Infinite Nature: Perpetual View Generation of Natural Sce...
with: Makadia, A.: Learning ABCs: Approximate Bijective Correspondence for i...
with: Makadia, A.: LU-NeRF: Scene and Pose Estimation by Synchronizing Local...
with: Marlet, R.: Efficient 2D and 3D Facade Segmentation Using Auto-Context
with: Marlet, R.: Efficient Facade Segmentation Using Auto-context
with: Mathew, A.: From Image Collections to Point Clouds With Self-Supervise...
with: Mello, S.: Learning Propagation for Arbitrarily-Structured Data
with: Mildenhall, B.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Molchanov, P.: SCOPS: Self-Supervised Co-Part Segmentation
with: Murphy, K.A.: Learning ABCs: Approximate Bijective Correspondence for ...
with: Mustikovela, S.K.: Intrinsic Autoencoders for Joint Deferred Neural Re...
with: Mustikovela, S.K.: Self-Supervised Viewpoint Learning From Image Colle...
with: Narayana, P.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: Navaneet, K.L.: From Image Collections to Point Clouds With Self-Super...
with: Niemeyer, M.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Nießner, M.: Intrinsic Autoencoders for Joint Deferred Neural Renderin...
with: Nowozin, S.: informed sampler: A discriminative approach to Bayesian i...
with: Parihar, R.: Hierarchical Semantic Regularization of Latent Spaces in ...
with: Pi, Z.X.: Decoupled Dynamic Filter Networks
with: Poole, B.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Pradyumna, Y.M.: Uncertainty-Aware Adaptation for Self-Supervised 3D H...
with: Prakash, A.: Training Deep Networks with Synthetic Data: Bridging the ...
with: Pritch, Y.: DreamBooth: Fine Tuning Text-to-Image Diffusion Models for...
with: Pruthi, G.: MetaCLUE: Towards Comprehensive Visual Metaphors Research
with: Raj, A.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Rakesh, M.: Appearance Consensus Driven Self-supervised Human Mesh Rec...
with: Rakesh, M.: Self-Supervised 3D Human Pose Estimation via Part Guided N...
with: Ramalingam, S.: Learning ABCs: Approximate Bijective Correspondence fo...
with: Rangwani, H.: Hierarchical Semantic Regularization of Latent Spaces in...
with: Rangwani, H.: Improving GANs for Long-Tailed Data Through Group Spectr...
with: Rangwani, H.: NoisyTwins: Class-Consistent and Diverse Image Generatio...
with: Ranjan, A.: Competitive Collaboration: Joint Unsupervised Learning of ...
with: Rehg, J.M.: Planes vs. Chairs: Category-Guided 3D Shape Learning Witho...
with: Rehg, J.M.: ShapeClipper: Scalable 3D Shape Learning from Single-View ...
with: Rogge, M.: SOMSI: Spherical Novel View Synthesis with Soft Occlusion M...
with: Rother, C.: Intrinsic Autoencoders for Joint Deferred Neural Rendering...
with: Rother, C.: Self-Supervised Viewpoint Learning From Image Collections
with: Rubinstein, M.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Rubinstein, M.: DreamBooth: Fine Tuning Text-to-Image Diffusion Models...
with: Rubinstein, M.: Hi-LASSIE: High-Fidelity Articulated Shape and Skeleto...
with: Ruiz, N.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Ruiz, N.: DreamBooth: Fine Tuning Text-to-Image Diffusion Models for S...
with: Salesin, D.: SLIDE: Single Image 3D Photography with Soft Layering and...
with: Sargent, K.: SLIDE: Single Image 3D Photography with Soft Layering and...
with: Sarkar, H.: Concurrent Subsidiary Supervision for Unsupervised Source-...
with: Seth, S.: Self-Supervised 3D Human Pose Estimation via Part Guided Nov...
with: Seth, S.: Uncertainty-Aware Adaptation for Self-Supervised 3D Human Po...
with: Sevilla Lara, L.: Adaptive Prototype Learning and Allocation for Few-S...
with: Sevilla Lara, L.: LOCATE: Localize and Transfer Object Parts for Weakl...
with: Sevilla Lara, L.: On the Integration of Optical Flow and Action Recogn...
with: Sevilla Lara, L.: Optical Flow with Semantic Segmentation and Localize...
with: Sharma, K.: NoisyTwins: Class-Consistent and Diverse Image Generation ...
with: Shrivastava, A.: ASIC: Aligning Sparse in-the-wild Image Collections
with: Singh, A.: Generalize then Adapt: Source-Free Domain Adaptive Semantic...
with: Singh, M.: Hierarchical Semantic Regularization of Latent Spaces in St...
with: Snavely, N.: ASIC: Aligning Sparse in-the-wild Image Collections
with: Snavely, N.: Infinite Nature: Perpetual View Generation of Natural Sce...
with: Stojanov, S.: Planes vs. Chairs: Category-Guided 3D Shape Learning Wit...
with: Stojanov, S.: ShapeClipper: Scalable 3D Shape Learning from Single-Vie...
with: Stricker, D.: SOMSI: Spherical Novel View Synthesis with Soft Occlusio...
with: Su, H.: Pixel-Adaptive Convolutional Neural Networks
with: Su, H.: SPLATNet: Sparse Lattice Networks for Point Cloud Processing
with: Sun, D.: Adaptive Prototype Learning and Allocation for Few-Shot Segme...
with: Sun, D.: AutoFlow: Learning a Better Training Set for Optical Flow
with: Sun, D.: Learning Superpixels with Segmentation-Aware Affinity Loss
with: Sun, D.: Optical Flow with Semantic Segmentation and Localized Layers
with: Sun, D.: SENSE: A Shared Encoder Network for Scene-Flow Estimation
with: Sun, D.: Super SloMo: High Quality Estimation of Multiple Intermediate...
with: Sun, D.: Superpixel Sampling Networks
with: Sun, D.Q.: Competitive Collaboration: Joint Unsupervised Learning of D...
with: Sun, D.Q.: LOCATE: Localize and Transfer Object Parts for Weakly Super...
with: Sun, D.Q.: Multi-Frame Video Prediction with Learnable Motion Encodings
with: Sun, D.Q.: Pixel-Adaptive Convolutional Neural Networks
with: Sun, D.Q.: SPLATNet: Sparse Lattice Networks for Point Cloud Processing
with: Takikawa, T.: Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
with: Thai, A.: Planes vs. Chairs: Category-Guided 3D Shape Learning Without...
with: Thai, A.: ShapeClipper: Scalable 3D Shape Learning from Single-View Im...
with: Thies, J.: Intrinsic Autoencoders for Joint Deferred Neural Rendering ...
with: To, T.: Training Deep Networks with Synthetic Data: Bridging the Reali...
with: Tremblay, J.: Training Deep Networks with Synthetic Data: Bridging the...
with: Tu, W.: Learning Superpixels with Segmentation-Aware Affinity Loss
with: Tucker, R.: Infinite Nature: Perpetual View Generation of Natural Scen...
with: Tucker, R.: SLIDE: Single Image 3D Photography with Soft Layering and ...
with: Venkatesh, R.M.: Appearance Consensus Driven Self-supervised Human Mes...
with: Vlasic, D.: AutoFlow: Learning a Better Training Set for Optical Flow
with: Wulff, J.: Competitive Collaboration: Joint Unsupervised Learning of D...
with: Yang, M.: Learning Superpixels with Segmentation-Aware Affinity Loss
with: Yang, M.: Super SloMo: High Quality Estimation of Multiple Intermediat...
with: Yang, M.H.: Decoupled Dynamic Filter Networks
with: Yang, M.H.: Discovering 3D Parts from Image Collections
with: Yang, M.H.: Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Di...
with: Yang, M.H.: Multi-Frame Video Prediction with Learnable Motion Encodings
with: Yang, M.H.: SCOPS: Self-Supervised Co-Part Segmentation
with: Yang, M.H.: Self-supervised Single-view 3d Reconstruction via Semantic...
with: Yang, M.H.: SPLATNet: Sparse Lattice Networks for Point Cloud Processing
with: Yang, M.H.: Superpixel Sampling Networks
with: Yang, M.H.: Switchable Temporal Propagation Network
with: Yao, C.H.: Discovering 3D Parts from Image Collections
with: Yao, C.H.: Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Dis...
with: Yuan, W.T.: DeepGMR: Learning Latent Gaussian Mixture Models for Regis...
with: Zabih, R.: AutoFlow: Learning a Better Training Set for Optical Flow
with: Zada, S.: DreamBooth3D: Subject-Driven Text-to-3D Generation
with: Zhong, G.Y.: Switchable Temporal Propagation Network
with: Zhou, J.K.: Decoupled Dynamic Filter Networks
271 for Jampani, V.
Jampel, H.
Standard Author Listing
with: Knezevich, F.: Image Based Auto-Focusing Algorithm for Digital Fundus ...
with: Moscaritolo, M.: Image Based Auto-Focusing Algorithm for Digital Fundu...
with: Zeimer, R.: Image Based Auto-Focusing Algorithm for Digital Fundus Pho...
Jampour, M.
Standard Author Listing
with: Abbaasi, S.: CapsNet regularization and its conjugation with ResNet fo...
with: Ashourzadeh, M.: Compressing of Fingerprint Images by Means of Fractal...
with: Bischof, H.: Face inpainting based on high-level facial attributes
with: Bischof, H.: Pairwise linear regression: An efficient and fast multi-v...
with: Bischof, H.: Pose-specific non-linear mappings in feature space toward...
with: Bischof, L.F.Y.H.: Mapping Forests: A Comprehensive Approach for Nonli...
with: Javidi, M.: CapsNet regularization and its conjugation with ResNet for...
with: Javidi, M.: Multiview Facial Expression Recognition, A Survey
with: Layeghi, K.: IAUFD: A 100k images dataset for automatic football image...
with: Lepetit, V.: Pose-specific non-linear mappings in feature space toward...
with: Li, C.: Face inpainting based on high-level facial attributes
with: Lin, S.: Face inpainting based on high-level facial attributes
with: Mauthner, T.: Pairwise linear regression: An efficient and fast multi-...
with: Mauthner, T.: Pose-specific non-linear mappings in feature space towar...
with: Moin, M.S.: Mapping Forests: A Comprehensive Approach for Nonlinear Ma...
with: Naserasadi, A.: Chaos game theory and its application for offline sign...
with: Sardar, A.K.: Facial Expression Recognition using Multi-Feature Concat...
with: Shojaei, H.: Compressing of Fingerprint Images by Means of Fractals Fe...
with: Yaghoobi, M.: Compressing of Fingerprint Images by Means of Fractals F...
with: Yu, L.F.: Face inpainting based on high-level facial attributes
with: Zanganeh, A.: IAUFD: A 100k images dataset for automatic football imag...
with: Zhou, K.: Face inpainting based on high-level facial attributes
22 for Jampour, M.