CVPR

Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis

Zicheng Zhang, Ruobing Zheng, Ziwen Liu, Congying Han, Tianqi Li, Meng Wang, Tiande Guo, Jingdong Chen, Bonan Li, Ming Yang

Comments CVPR 2024

LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment

Yiming Ren, Xiao Han, Chengfeng Zhao, Jingya Wang, Lan Xu, Jingyi Yu, Yuexin Ma

Comments Accepted by CVPR 2024

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis

Comments Accepted at CVPR 2024. 9 figures, many tables

MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis

Dewei Zhou, You Li, Fan Ma, Xiaoting Zhang, Yi Yang

Comments Accepted for publication in CVPR 2024

TEA: Test-time Energy Adaptation

Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

Comments Accepted by IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR 2024). Code is available at https://github.com/yuanyige/tea

ActiveDC: Distribution Calibration for Active Finetuning

Wenshuai Xu, Zhenghui Hu, Yu Lu, Jinzhou Meng, Qingjie Liu, Yunhong Wang

Comments CVPR 2024 Accept

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay

Comments To appear in CVPR 2023

AQD: Towards Accurate Fully-Quantized Object Detection

Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen

Comments CVPR 2021 Oral

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation

Titas Anciukevičius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero

Comments Accepted at CVPR 2023. Project page: https://github.com/Anciukevicius/RenderDiffusion

X-maps: Direct Depth Lookup for Event-based Structured Light Systems

Wieland Morgenstern, Niklas Gard, Simon Baumann, Anna Hilsmann, Peter Eisert

Comments Accepted at the CVPR 2023 Workshop on Event-based Vision: https://tub-rip.github.io/eventvision2023/

Journal ref 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, BC, Canada, 2023, pp. 4007-4015

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation

Yujun Chen, Xin Tan, Zhizhong Zhang, Yanyun Qu, Yuan Xie

Comments 12 pages, 8 figures, 11 tables

Journal ref CVPR 2024

Mixed Autoencoder for Self-supervised Visual Representation Learning

Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

Comments Accepted by CVPR 2023

Scaled 360 layouts: Revisiting non-central panoramas

Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, Jose J. Guerrero

Comments arXiv admin note: substantial text overlap with arXiv:2401.17058

Journal ref In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 3702-3705) 2021

Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization

Bruno Berenguel-Baeta, Antoine N. Andre, Guillaume Caron, Jesus Bermudez-Cameo, Jose J. Guerrero

Journal ref IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 6444-6447, 2023

Robot Goes Fishing: Rapid, High-Resolution Biological Hotspot Mapping in Coral Reefs with Vision-Guided Autonomous Underwater Vehicles

Daniel Yang, Levi Cai, Stewart Jamieson, Yogesh Girdhar

Comments CV4Animals Workshop at CVPR 2023

Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction

Cho-Ying Wu, Yiqi Zhong, Junying Wang, Ulrich Neumann

Comments long version; short version accepted to CVPR 2023 Workshop on Adversarial Machine Learning on Computer Vision and CVPR 2023 Workshop on Computer Vision for Mixed Reality

Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces

Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano

Comments Extension of the paper "Open Challenges in Deep Stereo: the Booster Dataset" presented at CVPR 2022. Accepted at TPAMI

Soft Augmentation for Image Classification

Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (pp. 16241-16250)

PATS: Patch Area Transportation with Subdivision for Local Feature Matching

Junjie Ni, Yijin Li, Zhaoyang Huang, Hongsheng Li, Hujun Bao, Zhaopeng Cui, Guofeng Zhang

Comments Accepted to CVPR 2023. Project page: https://zju3dv.github.io/pats

Geometry-Aware Instance Segmentation with Disparity Maps

Cho-Ying Wu, Xiaoyan Hu, Michael Happold, Qiangeng Xu, Ulrich Neumann

Comments CVPR 2020 Workshop of Scalability in Autonomous Driving (WSAD). Please refer to WSAD site for details; fix typos

WoodScape Motion Segmentation for Autonomous Driving -- CVPR 2023 OmniCV Workshop Challenge

Saravanabalagi Ramachandran, Nathaniel Cibik, Ganesh Sistu, John McDonald

Comments CVPR 2023 OmniCV Workshop Challenge

B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers

Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele

Comments Extension of B-cos Networks: Alignment is All We Need for Interpretability (Böhle et al., CVPR 2022). Accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: substantial text overlap with arXiv:2205.10268

BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image

Tao Chu, Pan Zhang, Qiong Liu, Jiaqi Wang

Comments CVPR 2023, https://github.com/chtsy/buol

Optimising for Interpretability: Convolutional Dynamic Alignment Networks

Moritz Böhle, Mario Fritz, Bernt Schiele

Comments Extension of "Convolutional Dynamic Alignment Networks for Interpretable Classifications" (Böhle et al., CVPR 2021). arXiv admin note: substantial text overlap with arXiv:2104.00032

Journal ref Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (Volume 45, Issue: 6, 01 June 2023, Page(s): 7625 - 7638)

ImbaGCD: Imbalanced Generalized Category Discovery

Ziyun Li, Ben Dai, Furkan Simsek, Christoph Meinel, Haojin Yang

Comments CVPR 2023 Computer Vision in the Wild Workshop \textbf{Spotlight} paper

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments

Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye

Comments Published in CVPR 23'

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023

RHOBIN Challenge: Reconstruction of Human Object Interaction

Xianghui Xie, Xi Wang, Nikos Athanasiou, Bharat Lal Bhatnagar, Chun-Hao P. Huang, Kaichun Mo, Hao Chen, Xia Jia, Zerui Zhang, Liangxian Cui, Xiao Lin, Bingqiao Qian, Jie Xiao, Wenfei Yang, Hyeongjin Nam, Daniel Sungho Jung, Kihoon Kim, Kyoung Mu Lee, Otmar Hilliges, Gerard Pons-Moll

Comments 14 pages, 5 tables, 7 figure. Technical report of the CVPR'23 workshop: RHOBIN challenge (https://rhobin-challenge.github.io/)

Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations

Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez

Comments CVPR 2023. Fix ReferIt results. Code: https://github.com/uvavision/AMC-grounding Project Webpage: https://vislang.ai/amc

SkateboardAI: The Coolest Video Action Recognition for Skateboarding

Hanxiao Chen

Comments The original first-author work has been accepted and presented by CVPR 2022 WiCV Workshop (This is the long-version paper)

Bayesian posterior approximation with stochastic ensembles

Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander

Comments 19 pages, CVPR 2023

Journal ref CVPR (2023) 13701-13711