CVPR

Isolated Sign Language Recognition based on Tree Structure Skeleton Images

David Laines, Gissella Bejarano, Miguel Gonzalez-Mendoza, Gilberto Ochoa-Ruiz

Comments This paper has been accepted the the LatinX in Computer Vision Research Workshop at CVPR 2023

Meta Compositional Referring Expression Segmentation

Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu

Comments Accepted by CVPR 2023

Token Boosting for Robust Self-Supervised Visual Transformer Pre-training

Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu

Comments Accepted to CVPR 2023

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment

Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li

Comments Accepted to CVPR 2023 (Highlight paper, 2.5% acceptance rate); Open source

MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs

Seunghyeon Seo, Donghoon Han, Yeonjin Chang, Nojun Kwak

Comments CVPR 2023. Project Page: https://shawn615.github.io/mixnerf/

Class Adaptive Network Calibration

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

Comments CVPR 2023. Code: https://github.com/by-liu/CALS

Are we certain it's anomalous?

Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal, Marco Aurelio Sterpa, Dario Aragona, Luca Podo, Fabio Galasso

Comments Accepted at CVPR '23 Visual Anomaly and Novelty Detection (VAND) Workshop

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li

Comments Accepted by CVPR 2023

Improving Image Recognition by Retrieving from Web-Scale Image-Text Data

Ahmet Iscen, Alireza Fathi, Cordelia Schmid

Comments Accepted to CVPR 2023

Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification

Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu

Comments CVPR

Shining light on the DVS pixel: A tutorial and discussion about biasing and optimization

Rui Graça, Brian McReynolds, Tobi Delbruck

Comments Accepted at 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); 4th International Workshop on Event-Based Vision

Event-based Shape from Polarization

Manasi Muglikar, Leonard Bauersfeld, Diederik Paul Moeys, Davide Scaramuzza

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

Video Event Restoration Based on Keyframes for Video Anomaly Detection

Zhiwei Yang, Jing Liu, Zhaoyang Wu, Peng Wu, Xiaotao Liu

Comments Accepted by CVPR 2023

Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection

Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, Lu Wang

Comments CVPR 2023 workshop

One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field

Weichuang Li, Longhao Zhang, Dong Wang, Bin Zhao, Zhigang Wang, Mulin Chen, Bang Zhang, Zhongjian Wang, Liefeng Bo, Xuelong Li

Comments Accepted by CVPR 2023

Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection

Jingyi Xu, Hieu Le, Dimitris Samaras

Comments Accepted to CVPR 23

Improving Vision-and-Language Navigation by Generating Future-View Image Semantics

Jialu Li, Mohit Bansal

Comments CVPR 2023 (Project webpage: https://jialuli-luka.github.io/VLN-SIG)

Neural Lens Modeling

Wenqi Xian, Aljaž Božič, Noah Snavely, Christoph Lassner

Comments To be presented at CVPR 2023, Project webpage: https://neural-lens.github.io

Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning

Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji

Comments Accepted to CVPR 2023

BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection

Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen

Comments Accepted by CVPR 2023

SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data

Meiling Fang, Marco Huber, Naser Damer

Comments Accepted at CVPR workshop 2023

Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval

Xudong Lin, Simran Tiwari, Shiyuan Huang, Manling Li, Mike Zheng Shou, Heng Ji, Shih-Fu Chang

Comments To appear in CVPR 2023; The code will be released at https://github.com/XudongLinthu/upgradable-multimodal-intelligence

EKILA: Synthetic Media Provenance and Attribution for Generative Art

Kar Balan, Shruti Agarwal, Simon Jenni, Andy Parsons, Andrew Gilbert, John Collomosse

Comments Proc. CVPR Workshop on Media Forensics 2023

Reinforcement Learning-Based Black-Box Model Inversion Attacks

Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim

Comments CVPR 2023, Accepted

SOOD: Towards Semi-Supervised Oriented Object Detection

Wei Hua, Dingkang Liang, Jingyu Li, Xiaolong Liu, Zhikang Zou, Xiaoqing Ye, Xiang Bai

Comments Accepted to CVPR 2023. Code will be available at https://github.com/HamPerdredes/SOOD

Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer

Agus Gunawan, Soo Ye Kim, Hyeonjun Sim, Jae-Ho Lee, Munchurl Kim

Comments Accepted to CVPR 2023. Website: https://kaist-viclab.github.io/old-photo-modernization

Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration

Tobias Baumgartner, Stefanie Klatt

Comments accept at "9th International Workshop on Computer Vision in Sports (CVsports) at CVPR 2023"

PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning

Huiwei Lin, Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye

Comments To appear in CVPR 2023. 10 pages, 8 figures and 3 tables

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

Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction

Guangyi Chen, Zhenhao Chen, Shunxing Fan, Kun Zhang

Journal ref CVPR 2023

Curricular Object Manipulation in LiDAR-based Object Detection

Ziyue Zhu, Qiang Meng, Xiao Wang, Ke Wang, Liujiang Yan, Jian Yang

Comments Accepted by CVPR 2023. The code is available at https://github.com/ZZY816/COM