CVPR

BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning

Changdae Oh, Hyeji Hwang, Hee-young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song

Comments Accepted to CVPR 2023 (v2: citation error was fixed)

TBGC: Task-level Backbone-Oriented Gradient Clip for Multi-Task Foundation Model Learning

Zelun Zhang, Xue Pan

Comments Foundation Model Challenge@CVPR2023, Accepted by CVPR2023 Workshop

Journal ref Conference on Computer Vision and Pattern Recognition, 2023

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation

Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray

Comments Accepted at CVPR 2023

Journal ref CVPR 2023

General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation

Nhi Kieu, Kien Nguyen, Sridha Sridharan, Clinton Fookes

Comments Accepted to CVPR Workshop on Multimodal Learning for Earth and Environment 2023

Unbalanced Optimal Transport: A Unified Framework for Object Detection

Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool

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

AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images

Ramin Nakhli, Puria Azadi Moghadam, Haoyang Mi, Hossein Farahani, Alexander Baras, Blake Gilks, Ali Bashashati

Comments Accepted at CVPR 2023

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration

Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz

Comments CVPR 2022. Code: https://github.com/by-liu/MbLS

ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour

Samy Tafasca, Anshul Gupta, Jean-Marc Odobez

Comments First submitted for CVPR 2022. Current draft is in review

HARP: Personalized Hand Reconstruction from a Monocular RGB Video

Korrawe Karunratanakul, Sergey Prokudin, Otmar Hilliges, Siyu Tang

Comments CVPR 2023. Project page: https://korrawe.github.io/harp-project/

Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration

Kemal Oksuz, Tom Joy, Puneet K. Dokania

Comments CVPR 2023

Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view

Hanbyel Cho, Yooshin Cho, Jaesung Ahn, Junmo Kim

Comments Accepted to CVPR 2023 (poster)

BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models

Phuoc-Hoan Charles Le, Xinlin Li

Comments Accepted in CVPR 2023 Workshop on Efficient Deep Learning for Computer Vision (ECV)

Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention

Sounak Mondal, Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Gregory Zelinsky, Minh Hoai

Comments IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications

Mustafa Munir, William Avery, Radu Marculescu

Comments Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision

Samuel Goree, David Crandall

Comments Presented at the CVPR 2023 Ego4D workshop

Backdoor Cleansing with Unlabeled Data

Lu Pang, Tao Sun, Haibin Ling, Chao Chen

Comments Accepted to CVPR 2023

GaTector: A Unified Framework for Gaze Object Prediction

Binglu Wang, Tao Hu, Baoshan Li, Xiaojuan Chen, Zhijie Zhang

Comments CVPR 2022, camera ready

Polarimetric iToF: Measuring High-Fidelity Depth through Scattering Media

Daniel S. Jeon, Andreas Meuleman, Seung-Hwan Baek, Min H. Kim

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 12353-12362

Residual Feature Pyramid Network for Enhancement of Vascular Patterns

Ketan Kotwal, Sebastien Marcel

Comments published in Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W) 2022

Journal ref in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022, pp. 1588-1595

Unbiased Scene Graph Generation in Videos

Sayak Nag, Kyle Min, Subarna Tripathi, Amit K. Roy Chowdhury

Comments Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion

Ce Zhang, Chengjie Zhang, Yiluan Guo, Lingji Chen, Michael Happold

Comments This paper is accepted by CVPR WAD 2023

BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion

Michael J. Black, Priyanka Patel, Joachim Tesch, Jinlong Yang

Journal ref CVPR 2023

Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering

Chuanyue Shen, Letian Zhang, Zhangsihao Yang, Masood Mortazavi, Xiyun Song, Liang Peng, Heather Yu

Comments Accepted to CVPR 2023 ECV Workshop

ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals

Xishun Wang, Tong Su, Fang Da, Xiaodong Yang

Comments CVPR 2023 (Highlight)

Preserving Linear Separability in Continual Learning by Backward Feature Projection

Qiao Gu, Dongsub Shim, Florian Shkurti

Comments CVPR 2023. The code can be found at https://github.com/rvl-lab-utoronto/BFP

Transformer-Based Learned Optimization

Erik Gärtner, Luke Metz, Mykhaylo Andriluka, C. Daniel Freeman, Cristian Sminchisescu

Comments Accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR) in Vancouver, Canada

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

Comments Accepted to CVPR 2023 VISION Workshop, Oral. The extended abstract of Hierarchical Dense Correlation Distillation for Few-Shot Segmentation. arXiv admin note: substantial text overlap with arXiv:2303.14652

GroundNLQ @ Ego4D Natural Language Queries Challenge 2023

Zhijian Hou, Lei Ji, Difei Gao, Wanjun Zhong, Kun Yan, Chao Li, Wing-Kwong Chan, Chong-Wah Ngo, Nan Duan, Mike Zheng Shou

Comments 5 pages, 2 figures, 4 tables, the champion solution for Ego4D Natural Language Queries Challenge in CVPR 2023

Beyond AUROC & co. for evaluating out-of-distribution detection performance

Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund

Comments published in SAIAD CVPRW'23 (Safe Artificial Intelligence for All Domains CVPR workshop)

A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference

Chao Zhang, Shiwei Wu, Sirui Zhao, Tong Xu, Enhong Chen

Comments 5 pages, 1 figure, technical report for track3 of CVPR 2023 LOVEU challenge