CVPR

Enhanced Stable View Synthesis

Nishant Jain, Suryansh Kumar, Luc Van Gool

Comments Accepted to IEEE/CVF CVPR 2023. Draft info: 13 pages, 6 Figures, 7 Tables

OpenMix: Exploring Outlier Samples for Misclassification Detection

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Comments Accepted by CVPR 2023 (Highlight)

DiffCollage: Parallel Generation of Large Content with Diffusion Models

Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu

Comments CVPR 2023 project page https://research.nvidia.com/labs/dir/diffcollage

Audio-Visual Grouping Network for Sound Localization from Mixtures

Shentong Mo, Yapeng Tian

Comments CVPR 2023

Correlational Image Modeling for Self-Supervised Visual Pre-Training

Wei Li, Jiahao Xie, Chen Change Loy

Comments Accepted by CVPR 2023

InstMove: Instance Motion for Object-centric Video Segmentation

Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan Yuille, Song Bai

Comments Accepted to CVPR 2023; Code: https://github.com/wjf5203/VNext

PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation

Qihao Liu, Adam Kortylewski, Alan Yuille

Comments Accepted to CVPR 2023; Code: https://github.com/qihao067/PoseExaminer

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction

Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli

Comments Accepted to CVPR 2023

Video Probabilistic Diffusion Models in Projected Latent Space

Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin

Comments CVPR 2023. Project page: https://sihyun.me/PVDM

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training

Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan

Comments CVPR 2023

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding

Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang

Comments CVPR camera ready

Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation

Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo

Comments Accepted by CVPR 2022

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation

Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, Shubham Tulsiani

Comments In CVPR 2022. The first two authors contributed equally to this work. Project: https://yccyenchicheng.github.io/AutoSDF/. Add Supp

Movies2Scenes: Using Movie Metadata to Learn Scene Representation

Shixing Chen, Chun-Hao Liu, Xiang Hao, Xiaohan Nie, Maxim Arap, Raffay Hamid

Comments Accepted to CVPR 2023

Global Vision Transformer Pruning with Hessian-Aware Saliency

Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz

Comments Accepted as a conference paper at CVPR 2023

Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations

Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu

Comments Accepted to CVPR 2023. Project site: https://vibashan.github.io/ovis-web/

TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation

Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon

Comments Accepted to CVPR 2023, Project page: https://taeyeop.com/ttacope

Adaptive Spot-Guided Transformer for Consistent Local Feature Matching

Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Feng Wu

Comments Accepted to CVPR 2023. Project page: https://astr2023.github.io/

FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction

Yuning Wang, Pu Zhang, Lei Bai, Jianru Xue

Comments Accepted for publication at the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023)

Understanding and Improving Features Learned in Deep Functional Maps

Souhaib Attaiki, Maks Ovsjanikov

Comments 16 pages, 8 figures, 8 tables, to be published in 2023 The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Journal ref 2023 The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Fair Federated Medical Image Segmentation via Client Contribution Estimation

Meirui Jiang, Holger R Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu

Comments Accepted at CVPR 2023

AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR

Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid

Comments CVPR 2023

AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation

Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx

Comments CVPR 2023 (Highlight)

Self-positioning Point-based Transformer for Point Cloud Understanding

Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim

Comments Accepted paper at CVPR 2023

Multi-View Azimuth Stereo via Tangent Space Consistency

Xu Cao, Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita

Comments CVPR 2023 camera-ready. Appendices after references. 16 pages, 20 figures. Project page: https://xucao-42.github.io/mvas_homepage/

Real-time Controllable Denoising for Image and Video

Zhaoyang Zhang, Yitong Jiang, Wenqi Shao, Xiaogang Wang, Ping Luo, Kaimo Lin, Jinwei Gu

Comments CVPR 2023

Hierarchical Video-Moment Retrieval and Step-Captioning

Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oğuz, Yasher Mehdad, Mohit Bansal

Comments CVPR 2023 (15 pages; the first two authors contributed equally; Project website: https://hirest-cvpr2023.github.io)

Are Data-driven Explanations Robust against Out-of-distribution Data?

Tang Li, Fengchun Qiao, Mengmeng Ma, Xi Peng

Comments In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition

Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, Mubarak Shah

Comments CVPR-2023

Spatiotemporal Self-supervised Learning for Point Clouds in the Wild

Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann

Comments CVPR accepted