CVPR

Skeleton2vec: A Self-supervised Learning Framework with Contextualized Target Representations for Skeleton Sequence

Ruizhuo Xu, Linzhi Huang, Mei Wang, Jiani Hu, Weihong Deng

Comments Submitted to CVPR 2024

Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection

Chaoqin Huang, Aofan Jiang, Ya Zhang, Yanfeng Wang

Comments VAND Runner-up Winner in CVPR 2023

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis

Comments Conference on Computer Vision and Pattern Recognition (CVPR) 2023. Project page: https://research.nvidia.com/labs/toronto-ai/VideoLDM/

Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation

Qi Chen, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie

Comments Accepted to CVPR 2022

Debiased Learning for Remote Sensing Data

Chun-Hsiao Yeh, Xudong Wang, Stella X. Yu, Charles Hill, Zackery Steck, Scott Kangas, Aaron Reite

Comments Accepted to CVPR 2023 MultiEarth Workshop

Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions?

Wang Zhu, Ishika Singh, Yuan Huang, Robin Jia, Jesse Thomason

Comments Accepted by O-DRUM @ CVPR 2023

Iterative Vision-and-Language Navigation

Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason Corso, Peter Anderson, Stefan Lee, Jesse Thomason

Comments Accepted by CVPR 2023

Model-Agnostic Gender Debiased Image Captioning

Yusuke Hirota, Yuta Nakashima, Noa Garcia

Comments CVPR 2023

Predicting Regional Road Transport Emissions From Satellite Imagery

Adam Horsler, Jake Baker, Pedro M. Baiz.

Comments 12 pages, submitted to CVPR

Single Image Backdoor Inversion via Robust Smoothed Classifiers

Mingjie Sun, J. Zico Kolter

Comments CVPR 2023. v2: improved writing

NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets

Yu-Hsi Chen, Chien-Yao Wang, Cheng-Yun Yang, Hung-Shuo Chang, Youn-Long Lin, Yung-Yu Chuang, Hong-Yuan Mark Liao

Comments This paper was accepted by 9th International Workshop on Computer Vision in Sports (CVsports) 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 5139-5148

Visualizing Skiers' Trajectories in Monocular Videos

Matteo Dunnhofer, Luca Sordi, Christian Micheloni

Comments 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), CVsports workshop

DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

Fa-Ting Hong, Li Shen, Dan Xu

Comments Accepted at TPAMI; CVPR 2022 extension

SurfaceAug: Closing the Gap in Multimodal Ground Truth Sampling

Ryan Rubel, Nathan Clark, Andrew Dudash

Comments Contains eight pages and three figures. A version of this document was submitted to CVPR 2024

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning

Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen

Comments 11 pages, 2 figures, 3 tables. CVPR Workshops (VCAD). 2023

Instance-Aware Domain Generalization for Face Anti-Spoofing

Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Ran Yi, Shouhong Ding, Lizhuang Ma

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

GraspCaps: A Capsule Network Approach for Familiar 6DoF Object Grasping

Tomas van der Velde, Hamed Ayoobi, Hamidreza Kasaei

Comments Submitted to CVPR 2023, Supplementary video: https://youtu.be/d13rEhKgApI?si=EhgbDI84nlXL5V2M

Meta-Learning with a Geometry-Adaptive Preconditioner

Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee

Comments Accepted at CVPR 2023. Code is available at: https://github.com/Suhyun777/CVPR23-GAP; This is an extended version of our previous CVPR23 work

Panoptic Video Scene Graph Generation

Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu

Comments Accepted to CVPR 2023. Project Page: https://jingkang50.github.io/PVSG/. Codebase: https://github.com/LilyDaytoy/OpenPVSG. We provide 400 long videos with frame-level panoptic segmentation, scene graph, dense captions, and QA annotations

Rethinking Dilated Convolution for Real-time Semantic Segmentation

Roland Gao

Comments CVPR 2023 Efficient CV workshop

Sanity checks for patch visualisation in prototype-based image classification

Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset

Comments arXiv admin note: substantial text overlap with arXiv:2302.08508

Journal ref 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 2023, Vancouvers, Canada

Self-Guided Diffusion Models

Vincent Tao Hu, David W Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek

Comments CVPR 2023

PadChannel: Improving CNN Performance through Explicit Padding Encoding

Juho Kim

Comments 7 pages, 4 figures, submitted to the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Less is More: Proxy Datasets in NAS approaches

Brian Moser, Federico Raue, Jörn Hees, Andreas Dengel

Journal ref 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Center Focusing Network for Real-Time LiDAR Panoptic Segmentation

Xiaoyan Li, Gang Zhang, Boyue Wang, Yongli Hu, Baocai Yin

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

Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging

Yubo Dong, Dahua Gao, Tian Qiu, Yuyan Li, Minxi Yang, Guangming Shi

Comments CVPR 2023

Robust Reflection Removal with Flash-only Cues in the Wild

Chenyang Lei, Xudong Jiang, Qifeng Chen

Comments Extension of CVPR 2021 paper [arXiv:2103.04273], submitted to TPAMI. Our source code and dataset are publicly available at http://github.com/ChenyangLEI/flash-reflection-removal

Towards Automatic Honey Bee Flower-Patch Assays with Paint Marking Re-Identification

Luke Meyers, Josué Rodríguez Cordero, Carlos Corrada Bravo, Fanfan Noel, José Agosto-Rivera, Tugrul Giray, Rémi Mégret

Comments Paper 17, workshop "CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling", in conjunction with Computer Vision and Pattern Recognition (CVPR 2023), June 18, 2023, Vancouver, Canada

DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training

Kanta Kaneda, Ryosuke Korekata, Yuiga Wada, Shunya Nagashima, Motonari Kambara, Yui Iioka, Haruka Matsuo, Yuto Imai, Takayuki Nishimura, Komei Sugiura

Comments Accepted for presentation at Fourth Annual Embodied AI Workshop at CVPR

Class-Incremental Learning with Generative Classifiers

Gido M. van de Ven, Zhe Li, Andreas S. Tolias

Comments To appear in the IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPR-W) on Continual Learning in Computer Vision (CLVision) 2021

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 3611-3620