4.5 Diffusion Process, Diffusion Operators, Mechanism, or Technique

Jiang, P., Pan, Z., Tu, C., Vasconcelos, N., Chen, B., Peng, J.,
Super Diffusion for Salient Object Detection,
IP(29), 2020, pp. 2903-2917.
IEEE DOI 2002
Object detection, Feature extraction, Diffusion processes, Laplace equations, Saliency detection, Robustness, Task analysis, spectral clustering BibRef

Arridge, S.R., Hauptmann, A.,
Networks for Nonlinear Diffusion Problems in Imaging,
JMIV(62), No. 3, April 2020, pp. 471-487.
Springer DOI 2004
BibRef

Hua, F., Nassif, R., Richard, C., Wang, H., Sayed, A.H.,
Diffusion LMS With Communication Delays: Stability and Performance Analysis,
SPLetters(27), 2020, pp. 730-734.
IEEE DOI 2005
Communication delays, distributed estimation, diffusion LMS, performance analysis, stability BibRef

Croitoru, F.A.[Florinel-Alin], Hondru, V.[Vlad], Ionescu, R.T.[Radu Tudor], Shah, M.[Mubarak],
Diffusion Models in Vision: A Survey,
PAMI(45), No. 9, September 2023, pp. 10850-10869.
IEEE DOI 2309
Survey, Diffusion. BibRef

Ma, J.J.[Jia-Jun], Xu, F.[Fei], Rong, X.F.[Xiao-Feng],
Discriminative multi-label feature selection with adaptive graph diffusion,
PR(148), 2024, pp. 110154.
Elsevier DOI 2402
Multi-label learning, Feature selection, Adaptive graph diffusion, Sparse regularization BibRef

Wang, X.W.[Xiao-Wen], Wang, L.[Lanjun], Su, Y.T.[Yu-Ting], Zhang, Y.D.[Yong-Dong], Liu, A.A.[An-An],
MCDAN: A Multi-Scale Context-Enhanced Dynamic Attention Network for Diffusion Prediction,
MultMed(26), 2024, pp. 7850-7862.
IEEE DOI 2405
Predictive models, Information diffusion, Feature extraction, Data mining, Task analysis, Context modeling, Annotations, graph neural networks BibRef

Everaert, M.N.[Martin Nicolas], Fitsios, A.[Athanasios], Bocchio, M.[Marco], Arpa, S.[Sami], Süsstrunk, S.[Sabine], Achanta, R.[Radhakrishna],
Exploiting the Signal-Leak Bias in Diffusion Models,
WACV24(4013-4022)
IEEE DOI 2404
Training, Adaptation models, Image color analysis, Image synthesis, Frequency-domain analysis, Brightness, Pipelines, Algorithms, Arts / games / social media BibRef

Park, D.H.[Dong Huk], Luo, G.[Grace], Toste, C.[Clayton], Azadi, S.[Samaneh], Liu, X.H.[Xi-Hui], Karalashvili, M.[Maka], Rohrbach, A.[Anna], Darrell, T.J.[Trevor J.],
Shape-Guided Diffusion with Inside-Outside Attention,
WACV24(4186-4195)
IEEE DOI Code:
WWW Link. 2404
Degradation, Measurement, Codes, Shape, Benchmark testing, Task analysis, Algorithms, Computational photography, image and video synthesis BibRef

Sarukkai, V.[Vishnu], Li, L.[Linden], Ma, A.[Arden], Ré, C.[Christopher], Fatahalian, K.[Kayvon],
Collage Diffusion,
WACV24(4196-4205)
IEEE DOI 2404
Visualization, Image synthesis, Process control, Algorithms, Computational photography, image and video synthesis, Algorithms BibRef

Cao, J.H.[Jia-Hang], Wang, Z.Q.[Zi-Qing], Guo, H.Z.[Han-Zhong], Cheng, H.[Hao], Zhang, Q.[Qiang], Xu, R.[Renjing],
Spiking Denoising Diffusion Probabilistic Models,
WACV24(4900-4909)
IEEE DOI Code:
WWW Link. 2404
Training, Energy consumption, Biological system modeling, Noise reduction, Energy conservation, Computer architecture, Visualization BibRef

Haas, R.[René], Huberman-Spiegelglas, I.[Inbar], Mulayoff, R.[Rotem], Graßhof, S.[Stella], Brandt, S.S.[Sami S.], Michaeli, T.[Tomer],
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models,
FG24(1-9)
IEEE DOI 2408
Jacobian matrices, Image synthesis, Face recognition, Semantics, Noise reduction, Gesture recognition, Diffusion models BibRef

Elata, N.[Noam], Kawar, B.[Bahjat], Michaeli, T.[Tomer], Elad, M.[Michael],
Nested Diffusion Processes for Anytime Image Generation,
WACV24(4995-5004)
IEEE DOI 2404
Image synthesis, Inverse problems, Computational modeling, Noise reduction, Diffusion processes, Probabilistic logic BibRef

Hur, J.[Jiwan], Choi, J.[Jaehyun], Han, G.[Gyojin], Lee, D.J.[Dong-Jae], Kim, J.[Junmo],
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning,
WACV24(5016-5025)
IEEE DOI 2404
Training, Shape, Image color analysis, Computational modeling, Computer architecture, Data models, Algorithms, image and video synthesis BibRef

Zhang, J.[Jeffrey], Chang, S.Y.[Shao-Yu], Li, K.[Kedan], Forsyth, D.[David],
Preserving Image Properties Through Initializations in Diffusion Models,
WACV24(5230-5238)
IEEE DOI 2404
Training, Photography, Image synthesis, Image color analysis, Noise, Lighting, Algorithms, Generative models for image, video, 3D, etc., Commercial / retail BibRef

Laroche, C.[Charles], Almansa, A.[Andrés], Coupete, E.[Eva],
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution,
WACV24(5259-5269)
IEEE DOI Code:
WWW Link. 2404
Degradation, Deconvolution, Computational modeling, Estimation, Diffusion processes, Approximation algorithms, Image restoration, image and video synthesis BibRef

Lin, S.C.[Shan-Chuan], Liu, B.C.[Bing-Chen], Li, J.S.[Jia-Shi], Yang, X.[Xiao],
Common Diffusion Noise Schedules and Sample Steps are Flawed,
WACV24(5392-5399)
IEEE DOI 2404
Training, Schedules, Gaussian noise, Computational modeling, Brightness, Diffusion processes, Algorithms, image and video synthesis BibRef

Jamwal, V.[Vikram], Ramaneswaran, S.,
Composite Diffusion: whole >= Sigma-parts,
WACV24(7206-7215)
IEEE DOI 2404
Surveys, Measurement, Image quality, Image segmentation, Art, Image synthesis, Applications, Arts / games / social media BibRef

Wang, Y.Y.[Yuan-Yuan], Li, X.J.[Xiang-Jun],
The last two decades of Studies in diffusion models: A bibliometric analysis,
CVIDL23(399-403)
IEEE DOI 2403
Analytical models, Biological system modeling, Computational modeling, frontier domains BibRef

Torem, N.[Nadav], Ronen, R.[Roi], Schechner, Y.Y.[Yoav Y.], Elad, M.[Michael],
Complex-Valued Retrievals From Noisy Images Using Diffusion Models,
BioIm23(3812-3822)
IEEE DOI 2401
BibRef

Yu, J.W.[Ji-Wen], Wang, Y.[Yinhuai], Zhao, C.[Chen], Ghanem, B.[Bernard], Zhang, J.[Jian],
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model,
ICCV23(23117-23127)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wallace, B.[Bram], Gokul, A.[Akash], Ermon, S.[Stefano], Naik, N.[Nikhil],
End-to-End Diffusion Latent Optimization Improves Classifier Guidance,
ICCV23(7246-7256)
IEEE DOI 2401
BibRef

Hang, T.K.[Tian-Kai], Gu, S.Y.[Shu-Yang], Li, C.[Chen], Bao, J.M.[Jian-Min], Chen, D.[Dong], Hu, H.[Han], Geng, X.[Xin], Guo, B.[Baining],
Efficient Diffusion Training via Min-SNR Weighting Strategy,
ICCV23(7407-7417)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, X.[Xiuyu], Liu, Y.J.[Yi-Jiang], Lian, L.[Long], Yang, H.R.[Huan-Rui], Dong, Z.[Zhen], Kang, D.[Daniel], Zhang, S.H.[Shang-Hang], Keutzer, K.[Kurt],
Q-Diffusion: Quantizing Diffusion Models,
ICCV23(17489-17499)
IEEE DOI 2401
BibRef

Li, L.J.[Li-Jiang], Li, H.X.[Hui-Xia], Zheng, X.[Xiawu], Wu, J.[Jie], Xiao, X.F.[Xue-Feng], Wang, R.[Rui], Zheng, M.[Min], Pan, X.[Xin], Chao, F.[Fei], Ji, R.R.[Rong-Rong],
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration,
ICCV23(7082-7091)
IEEE DOI 2401
BibRef

Xu, X.Q.[Xing-Qian], Wang, Z.Y.[Zhang-Yang], Zhang, E.[Eric], Wang, K.[Kai], Shi, H.[Humphrey],
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model,
ICCV23(7720-7731)
IEEE DOI Code:
WWW Link. 2401
BibRef

Gandikota, R.[Rohit], Materzynska, J.[Joanna], Fiotto-Kaufman, J.[Jaden], Bau, D.[David],
Erasing Concepts from Diffusion Models,
ICCV23(2426-2436)
IEEE DOI 2401
BibRef

Tyszkiewicz, M.J.[Michal J.], Fua, P.[Pascal], Trulls, E.[Eduard],
GECCO: Geometrically-Conditioned Point Diffusion Models,
ICCV23(2128-2138)
IEEE DOI 2401
BibRef

Bolya, D.[Daniel], Hoffman, J.[Judy],
Token Merging for Fast Stable Diffusion,
ECV23(4599-4603)
IEEE DOI 2309
BibRef

Bansal, A.[Arpit], Chu, H.M.[Hong-Min], Schwarzschild, A.[Avi], Sengupta, S.[Soumyadip], Goldblum, M.[Micah], Geiping, J.[Jonas], Goldstein, T.[Tom],
Universal Guidance for Diffusion Models,
GCV23(843-852)
IEEE DOI 2309
BibRef

Chen, Z.[Zijiao], Qing, J.X.[Jia-Xin], Xiang, T.[Tiange], Yue, W.L.[Wan Lin], Zhou, J.H.[Juan Helen],
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding,
CVPR23(22710-22720)
IEEE DOI 2309
BibRef

Wang, Z.[Ze], Wang, J.[Jiang], Liu, Z.C.[Zi-Cheng], Qiu, Q.[Qiang],
Binary Latent Diffusion,
CVPR23(22576-22585)
IEEE DOI 2309
BibRef

Yang, X.Y.[Xing-Yi], Zhou, D.[Daquan], Feng, J.S.[Jia-Shi], Wang, X.C.[Xin-Chao],
Diffusion Probabilistic Model Made Slim,
CVPR23(22552-22562)
IEEE DOI 2309
BibRef

Wallace, B.[Bram], Gokul, A.[Akash], Naik, N.[Nikhil],
EDICT: Exact Diffusion Inversion via Coupled Transformations,
CVPR23(22532-22541)
IEEE DOI 2309
BibRef

Chung, H.[Hyungjin], Ryu, D.[Dohoon], Mccann, M.T.[Michael T.], Klasky, M.L.[Marc L.], Ye, J.C.[Jong Chul],
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models,
CVPR23(22542-22551)
IEEE DOI 2309
BibRef

Yu, S.[Sihyun], Sohn, K.[Kihyuk], Kim, S.B.[Su-Bin], Shin, J.[Jinwoo],
Video Probabilistic Diffusion Models in Projected Latent Space,
CVPR23(18456-18466)
IEEE DOI 2309
BibRef

Liu, B.[Bowen], Chen, Y.[Yu], Machineni, R.C.[Rakesh Chowdary], Liu, S.Y.[Shi-Yu], Kim, H.S.[Hun-Seok],
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding,
CVPR23(18487-18496)
IEEE DOI 2309
BibRef

Gomes, C.[Carlos], Azevedo, R.[Roberto], Schroers, C.[Christopher],
Video Compression with Entropy-Constrained Neural Representations,
CVPR23(18497-18506)
IEEE DOI 2309
BibRef

Saragadam, V.[Vishwanath], LeJeune, D.[Daniel], Tan, J.[Jasper], Balakrishnan, G.[Guha], Veeraraghavan, A.[Ashok], Baraniuk, R.G.[Richard G.],
WIRE: Wavelet Implicit Neural Representations,
CVPR23(18507-18516)
IEEE DOI 2309
BibRef

Yang, R.[Runzhao],
TINC: Tree-Structured Implicit Neural Compression,
CVPR23(18517-18526)
IEEE DOI 2309
BibRef

Lu, H.[Hao], Yu, Z.T.[Zi-Tong], Niu, X.S.[Xue-Song], Chen, Y.C.[Ying-Cong],
Neuron Structure Modeling for Generalizable Remote Physiological Measurement,
CVPR23(18589-18599)
IEEE DOI 2309
BibRef

Kolek, S.[Stefan], Windesheim, R.[Robert], Andrade-Loarca, H.[Hector], Kutyniok, G.[Gitta], Levie, R.[Ron],
Explaining Image Classifiers with Multiscale Directional Image Representation,
CVPR23(18600-18609)
IEEE DOI 2309
BibRef

Tian, Y.J.[Yun-Jie], Xie, L.X.[Ling-Xi], Wang, Z.Z.[Zhao-Zhi], Wei, L.[Longhui], Zhang, X.P.[Xiao-Peng], Jiao, J.B.[Jian-Bin], Wang, Y.[Yaowei], Tian, Q.[Qi], Ye, Q.X.[Qi-Xiang],
Integrally Pre-Trained Transformer Pyramid Networks,
CVPR23(18610-18620)
IEEE DOI 2309
BibRef

Gao, S.[Shenyuan], Zhou, C.[Chunluan], Zhang, J.[Jun],
Generalized Relation Modeling for Transformer Tracking,
CVPR23(18686-18695)
IEEE DOI 2309
BibRef

Zhao, H.J.[Hao-Jie], Wang, D.[Dong], Lu, H.C.[Hu-Chuan],
Representation Learning for Visual Object Tracking by Masked Appearance Transfer,
CVPR23(18696-18705)
IEEE DOI 2309
BibRef

Girase, H.[Harshayu], Agarwal, N.[Nakul], Choi, C.[Chiho], Mangalam, K.[Karttikeya],
Latency Matters: Real-Time Action Forecasting Transformer,
CVPR23(18759-18769)
IEEE DOI 2309
BibRef

Tan, C.[Cheng], Gao, Z.Y.[Zhang-Yang], Wu, L.R.[Li-Rong], Xu, Y.J.[Yong-Jie], Xia, J.[Jun], Li, S.Y.[Si-Yuan], Li, S.Z.[Stan Z.],
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning,
CVPR23(18770-18782)
IEEE DOI 2309
BibRef

Ge, Y.Y.[Yu-Ying], Macaluso, A.[Annabella], Li, L.E.[Li Erran], Luo, P.[Ping], Wang, X.L.[Xiao-Long],
Policy Adaptation from Foundation Model Feedback,
CVPR23(19059-19069)
IEEE DOI 2309
BibRef

Khattak, M.U.[Muhammad Uzair], Rasheed, H.[Hanoona], Maaz, M.[Muhammad], Khan, S.[Salman], Khan, F.S.[Fahad Shahbaz],
MaPLe: Multi-modal Prompt Learning,
CVPR23(19113-19122)
IEEE DOI 2309
BibRef

Chen, A.[Aochuan], Yao, Y.G.[Yu-Guang], Chen, P.Y.[Pin-Yu], Zhang, Y.H.[Yi-Hua], Liu, S.J.[Si-Jia],
Understanding and Improving Visual Prompting: A Label-Mapping Perspective,
CVPR23(19133-19143)
IEEE DOI 2309
BibRef

Kim, J.[Jinwoo], Choi, J.[Janghyuk], Choi, H.J.[Ho-Jin], Kim, S.J.[Seon Joo],
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning,
CVPR23(19198-19207)
IEEE DOI 2309
BibRef

El Banani, M.[Mohamed], Desai, K.[Karan], Johnson, J.[Justin],
Learning Visual Representations via Language-Guided Sampling,
CVPR23(19208-19220)
IEEE DOI 2309
BibRef

Pan, Z.X.[Zheng-Xin], Wu, F.Y.[Fang-Yu], Zhang, B.L.[Bai-Ling],
Fine-grained Image-Text Matching by Cross-modal Hard Aligning Network,
CVPR23(19275-19284)
IEEE DOI 2309
BibRef

Iscen, A.[Ahmet], Fathi, A.[Alireza], Schmid, C.[Cordelia],
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data,
CVPR23(19295-19304)
IEEE DOI 2309
BibRef

Saito, K.[Kuniaki], Sohn, K.[Kihyuk], Zhang, X.[Xiang], Li, C.L.[Chun-Liang], Lee, C.Y.[Chen-Yu], Saenko, K.[Kate], Pfister, T.[Tomas],
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval,
CVPR23(19305-19314)
IEEE DOI 2309
BibRef

Ye, M.Y.[Mao-Yuan], Zhang, J.[Jing], Zhao, S.S.[Shan-Shan], Liu, J.[Juhua], Liu, T.L.[Tong-Liang], Du, B.[Bo], Tao, D.C.[Da-Cheng],
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting,
CVPR23(19348-19357)
IEEE DOI 2309
BibRef

Fang, Y.X.[Yu-Xin], Wang, W.[Wen], Xie, B.[Binhui], Sun, Q.[Quan], Wu, L.[Ledell], Wang, X.G.[Xing-Gang], Huang, T.J.[Tie-Jun], Wang, X.L.[Xin-Long], Cao, Y.[Yue],
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale,
CVPR23(19358-19369)
IEEE DOI 2309
BibRef

Zhu, S.[Sijie], Yang, L.J.[Lin-Jie], Chen, C.[Chen], Shah, M.[Mubarak], Shen, X.H.[Xiao-Hui], Wang, H.[Heng],
$R^2$ Former: Unified Retrieval and Reranking Transformer for Place Recognition,
CVPR23(19370-19380)
IEEE DOI 2309
BibRef

Ofri-Amar, D.[Dolev], Geyer, M.[Michal], Kasten, Y.[Yoni], Dekel, T.[Tali],
Neural Congealing: Aligning Images to a Joint Semantic Atlas,
CVPR23(19403-19412)
IEEE DOI 2309
BibRef

Liu, W.H.[Wei-Huang], Shen, X.[Xi], Pun, C.M.[Chi-Man], Cun, X.D.[Xiao-Dong],
Explicit Visual Prompting for Low-Level Structure Segmentations,
CVPR23(19434-19445)
IEEE DOI 2309
BibRef

Fan, Y.F.[Yun-Feng], Xu, W.C.[Wen-Chao], Wang, H.Z.[Hao-Zhao], Wang, J.X.[Jun-Xiao], Guo, S.[Song],
PMR: Prototypical Modal Rebalance for Multimodal Learning,
CVPR23(20029-20038)
IEEE DOI 2309
BibRef

Wei, S.[Shicai], Luo, C.[Chunbo], Luo, Y.[Yang],
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning,
CVPR23(20039-20049)
IEEE DOI 2309
BibRef

Wang, S.[Shuai], Zhang, D.[Daoan], Yan, Z.[Zipei], Zhang, J.G.[Jian-Guo], Li, R.[Rui],
Feature Alignment and Uniformity for Test Time Adaptation,
CVPR23(20050-20060)
IEEE DOI 2309
BibRef

Li, Z.H.[Zhi-Heng], Evtimov, I.[Ivan], Gordo, A.[Albert], Hazirbas, C.[Caner], Hassner, T.[Tal], Ferrer, C.C.[Cristian Canton], Xu, C.L.[Chen-Liang], Ibrahim, M.[Mark],
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others,
CVPR23(20071-20082)
IEEE DOI 2309
BibRef

Ye, J.W.[Jing-Wen], Liu, S.[Songhua], Wang, X.C.[Xin-Chao],
Partial Network Cloning,
CVPR23(20137-20146)
IEEE DOI 2309
BibRef

Peña, F.A.G.[Fidel A. Guerrero], Medeiros, H.R.[Heitor Rapela], Dubail, T.[Thomas], Aminbeidokhti, M.[Masih], Granger, E.[Eric], Pedersoli, M.[Marco],
Re-basin via implicit Sinkhorn differentiation,
CVPR23(20237-20246)
IEEE DOI 2309
BibRef

Zhang, X.X.[Xing-Xuan], Xu, R.Z.[Ren-Zhe], Yu, H.[Han], Zou, H.[Hao], Cui, P.[Peng],
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization,
CVPR23(20247-20257)
IEEE DOI 2309
BibRef

Han, M.Q.[Meng-Qiao], Pan, L.Y.[Li-Yuan], Liu, X.B.[Xia-Bi],
AstroNet: When Astrocyte Meets Artificial Neural Network,
CVPR23(20258-20268)
IEEE DOI 2309
BibRef

Ding, N.[Ning], Tang, Y.[Yehui], Han, K.[Kai], Xu, C.[Chao], Wang, Y.H.[Yun-He],
Network Expansion For Practical Training Acceleration,
CVPR23(20269-20279)
IEEE DOI 2309
BibRef

Ren, J.[Jie], Li, M.J.[Ming-Jie], Chen, Q.[Qirui], Deng, H.Q.[Hui-Qi], Zhang, Q.[Quanshi],
Defining and Quantifying the Emergence of Sparse Concepts in DNNs,
CVPR23(20280-20289)
IEEE DOI 2309
BibRef

Garg, I.[Isha], Roy, K.[Kaushik],
Samples with Low Loss Curvature Improve Data Efficiency,
CVPR23(20290-20300)
IEEE DOI 2309
BibRef

Xiao, Y.[Yao], Tang, Z.[Ziyi], Wei, P.X.[Peng-Xu], Liu, C.[Cong], Lin, L.[Liang],
Masked Images Are Counterfactual Samples for Robust Fine-Tuning,
CVPR23(20301-20310)
IEEE DOI 2309
BibRef

Qraitem, M.[Maan], Saenko, K.[Kate], Plummer, B.A.[Bryan A.],
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation,
CVPR23(20311-20320)
IEEE DOI 2309
BibRef

Wang, G.H.[Guo-Hua], Wu, J.X.[Jian-Xin],
Practical Network Acceleration with Tiny Sets,
CVPR23(20331-20340)
IEEE DOI 2309
BibRef

Tomar, D.[Devavrat], Vray, G.[Guillaume], Bozorgtabar, B.[Behzad], Thiran, J.P.[Jean-Philippe],
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation,
CVPR23(20341-20350)
IEEE DOI 2309
BibRef

Li, X.D.[Xiao-Dan], Chen, Y.F.[Yue-Feng], Zhu, Y.[Yao], Wang, S.H.[Shu-Hui], Zhang, R.[Rong], Xue, H.[Hui],
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing,
CVPR23(20371-20381)
IEEE DOI 2309
BibRef

Huang, H.[Hao], Chen, Z.Y.[Zi-Yan], Chen, H.[Huanran], Wang, Y.T.[Yong-Tao], Zhang, K.[Kevin],
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection,
CVPR23(20514-20523)
IEEE DOI 2309
BibRef

Yin, S.L.[Sheng-Lin], Yao, K.[Kelu], Shi, S.[Sheng], Du, Y.Z.[Yang-Zhou], Xiao, Z.[Zhen],
AGAIN: Adversarial Training with Attribution Span Enlargement and Hybrid Feature Fusion,
CVPR23(20544-20553)
IEEE DOI 2309
BibRef

Wang, H.J.[Hong-Jun], Wang, Y.[Yisen],
Generalist: Decoupling Natural and Robust Generalization,
CVPR23(20554-20563)
IEEE DOI 2309
BibRef

Wang, Y.[Yimu], Zhang, D.[Dinghuai], Wu, Y.[Yihan], Huang, H.[Heng], Zhang, H.Y.[Hong-Yang],
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets,
CVPR23(20564-20574)
IEEE DOI 2309
BibRef

Lin, H.T.[Hao-Tong], Wang, Q.Q.[Qian-Qian], Cai, R.[Ruojin], Peng, S.[Sida], Averbuch-Elor, H.[Hadar], Zhou, X.W.[Xiao-Wei], Snavely, N.[Noah],
Neural Scene Chronology,
CVPR23(20752-20761)
IEEE DOI 2309
BibRef

Côté, G.[Geoffroi], Mannan, F.[Fahim], Thibault, S.[Simon], Lalonde, J.F.[Jean-François], Heide, F.[Felix],
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection,
CVPR23(20803-20812)
IEEE DOI 2309
BibRef

Kawahara, R.[Ryo], Kuo, M.Y.J.[Meng-Yu Jennifer], Nobuhara, S.[Shohei],
Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction,
CVPR23(20813-20822)
IEEE DOI 2309
BibRef

Qiu, J.X.[Jia-Xiong], Jiang, P.T.[Peng-Tao], Zhu, Y.F.[Yi-Fan], Yin, Z.X.[Ze-Xin], Cheng, M.M.[Ming-Ming], Ren, B.[Bo],
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections,
CVPR23(20823-20833)
IEEE DOI 2309
BibRef

Zhang, C.[Congyi], Lin, G.[Guying], Yang, L.[Lei], Li, X.[Xin], Komura, T.[Taku], Schaefer, S.[Scott], Keyser, J.[John], Wang, W.P.[Wen-Ping],
Surface Extraction from Neural Unsigned Distance Fields,
ICCV23(22474-22483)
IEEE DOI 2401
BibRef

Wang, Y.M.[Yi-Ming], Han, Q.[Qin], Habermann, M.[Marc], Daniilidis, K.[Kostas], Theobalt, C.[Christian], Liu, L.J.[Ling-Jie],
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction,
ICCV23(3272-3283)
IEEE DOI Code:
WWW Link. 2401
BibRef

Long, X.X.[Xiao-Xiao], Lin, C.[Cheng], Liu, L.J.[Ling-Jie], Liu, Y.[Yuan], Wang, P.[Peng], Theobalt, C.[Christian], Komura, T.[Taku], Wang, W.P.[Wen-Ping],
NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies,
CVPR23(20834-20843)
IEEE DOI 2309
BibRef

Dogaru, A.[Andreea], Ardelean, A.T.[Andrei Timotei], Ignatyev, S.[Savva], Zakharov, E.[Egor], Burnaev, E.[Evgeny],
Sphere-Guided Training of Neural Implicit Surfaces,
CVPR23(20844-20853)
IEEE DOI 2309
BibRef

Sawdayee, H.[Haim], Vaxman, A.[Amir], Bermano, A.H.[Amit H.],
OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields,
CVPR23(20854-20862)
IEEE DOI 2309
BibRef

Hu, V.T.[Vincent Tao], Zhang, D.W.[David W.], Asano, Y.M.[Yuki M.], Burghouts, G.J.[Gertjan J.], Snoek, C.G.M.[Cees G. M.],
Self-Guided Diffusion Models,
CVPR23(18413-18422)
IEEE DOI 2309
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Karnewar, A.[Animesh], Vedaldi, A.[Andrea], Novotny, D.[David], Mitra, N.J.[Niloy J.],
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images,
CVPR23(18423-18433)
IEEE DOI 2309
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Qin, Y.M.[Yi-Ming], Zheng, H.[Huangjie], Yao, J.[Jiangchao], Zhou, M.Y.[Ming-Yuan], Zhang, Y.[Ya],
Class-Balancing Diffusion Models,
CVPR23(18434-18443)
IEEE DOI 2309
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Zhang, H.[Han], Feng, R.[Ruili], Yang, Z.[Zhantao], Huang, L.[Lianghua], Liu, Y.[Yu], Zhang, Y.F.[Yi-Fei], Shen, Y.J.[Yu-Jun], Zhao, D.L.[De-Li], Zhou, J.[Jingren], Cheng, F.[Fan],
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CVPR23(14307-14316)
IEEE DOI 2309
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Meng, C.L.[Chen-Lin], Rombach, R.[Robin], Gao, R.Q.[Rui-Qi], Kingma, D.[Diederik], Ermon, S.[Stefano], Ho, J.[Jonathan], Salimans, T.[Tim],
On Distillation of Guided Diffusion Models,
CVPR23(14297-14306)
IEEE DOI 2309
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Towards Practical Plug-and-Play Diffusion Models,
CVPR23(1962-1971)
IEEE DOI 2309
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Post-Training Quantization on Diffusion Models,
CVPR23(1972-1981)
IEEE DOI 2309
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Zhang, G.Q.[Guo-Qiang], Niwa, K.[Kenta], Kleijn, W.B.[W. Bastiaan],
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation,
CVPR23(1421-1429)
IEEE DOI 2309
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Somepalli, G.[Gowthami], Singla, V.[Vasu], Goldblum, M.[Micah], Geiping, J.[Jonas], Goldstein, T.[Tom],
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CVPR23(6048-6058)
IEEE DOI 2309
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Chung, H.[Hyungjin], Kim, J.[Jeongsol], Kim, S.[Sehui], Ye, J.C.[Jong Chul],
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems,
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ICIP22(2931-2935)
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CVPR22(18769-18779)
IEEE DOI 2210
Tensors, Computational modeling, Stochastic processes, Estimation, Predictive models, Stroke (medical condition), Brain modeling, Medical BibRef

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Joint Manifold Diffusion for Combining Predictions on Decoupled Observations,
CVPR19(7541-7549).
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ICIP19(195-199)
IEEE DOI 1910
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Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations,
CVPR17(926-935)
IEEE DOI 1711
Closed-form solutions, Image retrieval, Indexing, Manifolds, Matrix decomposition, Symmetric matrices BibRef

Gu, X.[Xuan], Sidén, P.[Per], Wegmann, B.[Bertil], Eklund, A.[Anders], Villani, M.[Mattias], Knutsson, H.[Hans],
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ICIP15(1737-1741)
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A new automatic framework for document image enhancement process based on anisotropic diffusion,
ICDAR15(1126-1130)
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ICIP14(2923-2927)
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Laplacian Based Non-Linear Diffusion Filtering,
ICPR06(III: 838-841).
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IWCIA06(453-465).
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Diffusion Process, Survey, Overview .

Last update:Sep 28, 2024 at 17:47:54