CVPR

Publications

2023

Yuxuan Han, Zhibo Wang, Feng Xu
Learning a 3D Morphable Face Reflectance Model from Low-Cost Data. CVPR (2023)
Zhaoyang Zhang, Yitong Jiang, Wenqi Shao, Xiaogang Wang, Ping Luo, Kaimo Lin, Jinwei Gu
Real-Time Controllable Denoising for Image and Video. CVPR (2023)
Steven Spratley, Krista A. Ehinger, Tim Miller
Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge. CVPR (2023)
Ayan Kumar Bhunia, Subhadeep Koley, Amandeep Kumar, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song
Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings. CVPR (2023)
Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. CVPR (2023)
Hao Li, Jinguo Zhu, Xiaohu Jiang, Xizhou Zhu, Hongsheng Li, Chun Yuan, Xiaohua Wang, Yu Qiao, Xiaogang Wang, Wenhai Wang, Jifeng Dai
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks. CVPR (2023)
Xing Nie, Shixiong Xu, Xiyan Liu, Gaofeng Meng, Chunlei Huo, Shiming Xiang
Bilateral Memory Consolidation for Continual Learning. CVPR (2023)
Kun Zhou, Wenbo Li, Xiaoguang Han, Jiangbo Lu
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation. CVPR (2023)
Lianxin Xie, Wen Xue, Zhen Xu, Si Wu, Zhiwen Yu, Hau-San Wong
Blemish-aware and Progressive Face Retouching with Limited Paired Data. CVPR (2023)
Wele Gedara Chaminda Bandara, Naman Patel, Ali Gholami, Mehdi Nikkhah, Motilal Agrawal, Vishal M. Patel
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders. CVPR (2023)
Yu Chen, Gim Hee Lee
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields. CVPR (2023)
Rohit Gupta, Anirban Roy, Claire Christensen, Sujeong Kim, Sarah Gerard, Madeline Cincebeaux, Ajay Divakaran, Todd Grindal, Mubarak Shah
Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos. CVPR (2023)
Xing Wei, Yifan Bai, Yongchao Zheng, Dahu Shi, Yihong Gong
Autoregressive Visual Tracking. CVPR (2023)
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR (2023)
Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation. CVPR (2023)
Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CVPR (2023)
Zhikang Liu, Yiming Zhou, Yuansheng Xu, Zilei Wang
SimpleNet: A Simple Network for Image Anomaly Detection and Localization. CVPR (2023)
Shuhong Chen, Kevin Zhang, Yichun Shi, Heng Wang, Yiheng Zhu, Guoxian Song, Sizhe An, Janus Kristjansson, Xiao Yang, Matthias Zwicker
PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters. CVPR (2023)
Jiacheng Li, Chang Chen, Wei Huang, Zhiqiang Lang, Fenglong Song, Youliang Yan, Zhiwei Xiong
Learning Steerable Function for Efficient Image Resampling. CVPR (2023)
Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Chang Liu, Li Yuan, Jie Chen
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation. CVPR (2023)
Xingyi Li, Zhiguo Cao, Huiqiang Sun, Jianming Zhang, Ke Xian, Guosheng Lin
3D Cinemagraphy from a Single Image. CVPR (2023)
Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. CVPR (2023)
Xiaoxu Meng, Weikai Chen, Bo Yang
NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-View Images. CVPR (2023)
Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick
Tracking Through Containers and Occluders in the Wild. CVPR (2023)
Yubin Hu, Yuze He, Yanghao Li, Jisheng Li, Yuxing Han, Jiangtao Wen, Yong-Jin Liu
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos. CVPR (2023)
Aleksei Bokhovkin, Angela Dai
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans. CVPR (2023)
Dongming Wu, Wencheng Han, Tiancai Wang, Xingping Dong, Xiangyu Zhang, Jianbing Shen
Referring Multi-Object Tracking. CVPR (2023)
Sanghwan Kim, Lorenzo Noci, Antonio Orvieto, Thomas Hofmann
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning. CVPR (2023)
Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian Price
Towards Open-World Segmentation of Parts. CVPR (2023)
Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation. CVPR (2023)
Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR (2023)
Taotao Zhou, Kai He, Di Wu, Teng Xu, Qixuan Zhang, Kuixiang Shao, Wenzheng Chen, Lan Xu, Jingyi Yu
Relightable Neural Human Assets from Multi-view Gradient Illuminations. CVPR (2023)
Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu
OVTrack: Open-Vocabulary Multiple Object Tracking. CVPR (2023)
Prune Truong, Marie-Julie Rakotosaona, Fabian Manhardt, Federico Tombari
SPARF: Neural Radiance Fields from Sparse and Noisy Poses. CVPR (2023)
Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li
Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring. CVPR (2023)
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR (2023)
Chengxuan Zhu, Renjie Wan, Yunkai Tang, Boxin Shi
Occlusion-Free Scene Recovery via Neural Radiance Fields. CVPR (2023)
Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, Cordelia Schmid
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. CVPR (2023)
Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. CVPR (2023)
Yang Liu, Zhipeng Zhou, Baigui Sun
COT: Unsupervised Domain Adaptation with Clustering and Optimal Transport. CVPR (2023)
Mengxue Qu, Yu Wu, Yunchao Wei, Wu Liu, Xiaodan Liang, Yao Zhao
Learning to Segment Every Referring Object Point by Point. CVPR (2023)
Rotem Shalev-Arkushin, Amit Moryossef, Ohad Fried
Ham2Pose: Animating Sign Language Notation into Pose Sequences. CVPR (2023)
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
Scaling Language-Image Pre-Training via Masking. CVPR (2023)
Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé
Unifying Short and Long-Term Tracking with Graph Hierarchies. CVPR (2023)
Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. CVPR (2023)
Michael Kleinman, Alessandro Achille, Stefano Soatto
Critical Learning Periods for Multisensory Integration in Deep Networks. CVPR (2023)
Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie
Explaining Image Classifiers with Multiscale Directional Image Representation. CVPR (2023)
Youssef Mansour, Reinhard Heckel
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data. CVPR (2023)
Haojie Zhao, Junsong Chen, Lijun Wang, Huchuan Lu
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data. CVPR (2023)
Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt
Thermal Spread Functions (TSF): Physics-Guided Material Classification. CVPR (2023)