ICCV

Representation Uncertainty in Self-Supervised Learning as Variational Inference

Hiroki Nakamura, Masashi Okada, Tadahiro Taniguchi

Comments Accepted to ICCV 2023

Tracking Anything with Decoupled Video Segmentation

Ho Kei Cheng, Seoung Wug Oh, Brian Price, Alexander Schwing, Joon-Young Lee

Comments Accepted to ICCV 2023. Project page: https://hkchengrex.github.io/Tracking-Anything-with-DEVA

Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction

Su-Kai Chen, Hung-Lin Yen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Wen-Hsiao Peng, Yen-Yu Lin

Comments ICCV 2023. Project page: https://skchen1993.github.io/CEVR_web/

The Making and Breaking of Camouflage

Hala Lamdouar, Weidi Xie, Andrew Zisserman

Comments ICCV 2023

ProPainter: Improving Propagation and Transformer for Video Inpainting

Shangchen Zhou, Chongyi Li, Kelvin C. K. Chan, Chen Change Loy

Comments Accepted by ICCV 2023. Code: https://github.com/sczhou/ProPainter

Panoramas from Photons

Sacha Jungerman, Atul Ingle, Mohit Gupta

Comments Proc. ICCV 2023

Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption

Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma

Comments Accepted by ICCV 2023

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning

Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

Comments Accepted as International Conference on Computer Vision (ICCV) 2023

Journal ref International Conference on Computer Vision (ICCV) 2023

Temporal Collection and Distribution for Referring Video Object Segmentation

Jiajin Tang, Ge Zheng, Sibei Yang

Comments Accepted by ICCV 2023; Project page: https://toneyaya.github.io/tempcd/

Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models

Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu

Comments Accepted to ICCV 2023, project page: https://tap.ivg-research.xyz

MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers

Jakob Drachmann Havtorn, Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi

Comments ICCV Workshops 2023; Code for the Generalized Batch-Shaping loss is available at https://github.com/Qualcomm-AI-research/batchshaping

Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning

Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars

Comments ICCV 2023. * denotes equal contribution

3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation

Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka

Comments ICCV 2023 camera ready

PGFed: Personalize Each Client's Global Objective for Federated Learning

Jun Luo, Matias Mendieta, Chen Chen, Shandong Wu

Comments ICCV 2023 oral

PDiscoNet: Semantically consistent part discovery for fine-grained recognition

Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cassio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos

Comments 9 pages, 8 figures, ICCV

Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction

Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh, Antonio Montanaro, Hao Yu, Yin Wang, Nassir Navab, Xiaohui Liang, Federico Tombari

Comments Accpeted by ICCV 2023

SlAction: Non-intrusive, Lightweight Obstructive Sleep Apnea Detection using Infrared Video

You Rim Choi, Gyeongseon Eo, Wonhyuck Youn, Hyojin Lee, Haemin Jang, Dongyoon Kim, Hyunwoo Shin, Hyung-Sin Kim

Comments Accepted to ICCV CVAMD 2023, poster

A skeletonization algorithm for gradient-based optimization

Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert

Comments Accepted at ICCV 2023

An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports

Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula Mougiakakou

Comments Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2023

UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM

Erik Sandström, Kevin Ta, Luc Van Gool, Martin R. Oswald

Comments ICCV 2023 Workshop. 20 pages, 9 figures

Robustifying Token Attention for Vision Transformers

Yong Guo, David Stutz, Bernt Schiele

Comments To appear in ICCV 2023

H3WB: Human3.6M 3D WholeBody Dataset and Benchmark

Yue Zhu, Nermin Samet, David Picard

Comments Accepted by ICCV 2023

GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction

Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi

Comments ICCV 2023. Code: https://github.com/youmi-zym/GO-SLAM - Project Page: https://youmi-zym.github.io/projects/GO-SLAM/

Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach

Vimal K B, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N Balasubramanian

Comments To appear at ICCV 2023

EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding

Yue Xu, Yong-Lu Li, Zhemin Huang, Michael Xu Liu, Cewu Lu, Yu-Wing Tai, Chi-Keung Tang

Comments ICCV 2023

Doppelgangers: Learning to Disambiguate Images of Similar Structures

Ruojin Cai, Joseph Tung, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely

Comments Published in ICCV 2023 (Oral); Project page: http://doppelgangers-3d.github.io/

Generating Realistic Images from In-the-wild Sounds

Taegyeong Lee, Jeonghun Kang, Hyeonyu Kim, Taehwan Kim

Comments Accepted to ICCV 2023

Prototype-based Dataset Comparison

Nanne van Noord

Comments To be presented at ICCV 2023

zPROBE: Zero Peek Robustness Checks for Federated Learning

Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar

Comments ICCV 2023

Multi-label affordance mapping from egocentric vision

Lorenzo Mur-Labadia, Jose J. Guerrero, Ruben Martinez-Cantin

Comments International Conference on Computer Vision (ICCV) 2023