CVPR

Improved Canonicalization for Model Agnostic Equivariance

Siba Smarak Panigrahi, Arnab Kumar Mondal

Comments Accepted to EquiVision workshop, CVPR 2024. 8 pages, 2 figures, 2 tables

Feudal Steering: Hierarchical Learning for Steering Angle Prediction

Faith Johnson, Kristin Dana

Comments InThe IEEE/CVFConference on Computer Vision and Pattern Recognition(CVPR) Workshops, June 2020

Journal ref In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 1002-1003. 2020

BoQ: A Place is Worth a Bag of Learnable Queries

Amar Ali-Bey, Brahim Chaib-draa, Philippe Giguère

Comments Accepted at CVPR 2024

RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception

Felix Fent, Philipp Bauerschmidt, Markus Lienkamp

Comments Accepted to CVPR 2023 Workshop on Autonomous Driving (WAD)

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling

Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu

Comments Accepted by CVPR 2023

RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo

Changjiang Cai, Pan Ji, Qingan Yan, Yi Xu

Comments CVPR 2023. Code link added

AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces

Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani, Emmanuel Beaudry Marchand, Toumadher Ammar, Shin Koseki

Comments Presented at CVPR 2024 Workshop on Responsible Data

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations

Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence Staib, James S. Duncan

Comments Accepted by CVPR 2024

On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR

Li Li

Comments PhD thesis (Durham University, Computer Science), 149 pages (the 2024 BMVA Sullivan Doctoral Thesis Prize runner-up). Includes published content from arXiv:2407.10159 (ECCV 2024 ORAL), arXiv:2303.11203 (CVPR 2023), and arXiv:2406.10068 (3DV 2021), with minor revisions to the examined version: https://etheses.dur.ac.uk/15738/

Do not think about pink elephant!

Kyomin Hwang, Suyoung Kim, JunHoo Lee, Nojun Kwak

Comments This paper is accepted in CVPR 2024 Responsible Generative AI Workshop (ReGenAI)

HCQA @ Ego4D EgoSchema Challenge 2024

Haoyu Zhang, Yuquan Xie, Yisen Feng, Zaijing Li, Meng Liu, Liqiang Nie

Comments The champion solution for Ego4D EgoSchema Challenge in CVPR EgoVis Workshop 2024

Real-time 3D-aware Portrait Video Relighting

Ziqi Cai, Kaiwen Jiang, Shu-Yu Chen, Yu-Kun Lai, Hongbo Fu, Boxin Shi, Lin Gao

Comments Accepted to CVPR 2024 (Highlight). Project page: http://geometrylearning.com/VideoRelighting

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

Hui-Po Wang, Ning Yu, Mario Fritz

Comments Accepted by CVPR 2021

Neural Markov Random Field for Stereo Matching

Tongfan Guan, Chen Wang, Yun-Hui Liu

Comments Accepted to CVPR 2024

Journal ref IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models

Haolin Li, Yuhang Zhou, Ziheng Zhao, Siyuan Du, Jiangchao Yao, Weidi Xie, Ya Zhang, Yanfeng Wang

Comments The paper is an extended version of our conference paper published on CVPR 2024. This work has been submitted to the IEEE for possible publication

The Neural Tangent Link Between CNN Denoisers and Non-Local Filters

Julián Tachella, Junqi Tang, Mike Davies

Journal ref CVPR 2021 (Oral presentation)

AI Art Curation: Re-imagining the city of Helsinki in occasion of its Biennial

Ludovica Schaerf, Pepe Ballesteros, Valentine Bernasconi, Iacopo Neri, Dario Negueruela del Castillo

Comments Presented at CVPR 2023 EC3V workshop. Best paper award

On the power of data augmentation for head pose estimation

Michael Welter

Comments CVPR version. Added evaluation on BIWI. Plenty of writing changes

MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration

Mathieu Cocheteux, Julien Moreau, Franck Davoine

Comments Accepted at CVPR 2024 Workshop on Autonomous Driving. Copyright 2024 IEEE

Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

Linshan Wu, Jiaxin Zhuang, Hao Chen

Comments CVPR 2024 Extension

An Expeditious Spatial Mean Radiant Temperature Mapping Framework using Visual SLAM and Semantic Segmentation

Wei Liang, Yiting Zhang, Ji Zhang, Erica Cochran Hameen

Comments Accepted by 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop

Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models

Jingyao Xu, Yuetong Lu, Yandong Li, Siyang Lu, Dongdong Wang, Xiang Wei

Comments Published at CVPR 2024, code:https://github.com/CO2-cityao/CAAT

Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting

Haiwei Chen, Yajie Zhao

Comments cvpr 2024

DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM

Xuchen Li, Xiaokun Feng, Shiyu Hu, Meiqi Wu, Dailing Zhang, Jing Zhang, Kaiqi Huang

Comments Accepted by CVPR Workshop 2024, Oral Presentation, Best Paper Honorable Mention Award

Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar

Comments Accepted in IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

Attentive Fine-Grained Structured Sparsity for Image Restoration

Junghun Oh, Heewon Kim, Seungjun Nah, Cheeun Hong, Jonghyun Choi, Kyoung Mu Lee

Comments Accepted at CVPR 2022

Multi-Stage Graph Learning for fMRI Analysis to Diagnose Neuro-Developmental Disorders

Wenjing Gao, Yuanyuan Yang, Jianrui Wei, Xuntao Yin, Xinhan Di

Comments Accepted by CVPR 2024 CV4Science Workshop (8 pages, 4 figures, 2 tables)

Contextrast: Contextual Contrastive Learning for Semantic Segmentation

Changki Sung, Wanhee Kim, Jungho An, Wooju Lee, Hyungtae Lim, Hyun Myung

Comments Accepted at CVPR 2024

A Perspective on Deep Vision Performance with Standard Image and Video Codecs

Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath

Comments Accepted at CVPR 2024 Workshop on AI for Streaming (AIS)

Deep Video Codec Control for Vision Models

Christoph Reich, Biplob Debnath, Deep Patel, Tim Prangemeier, Daniel Cremers, Srimat Chakradhar

Comments Accepted at CVPR 2024 Workshop on AI for Streaming (AIS)