CVPR

GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions

Junjie Wang, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Qi Tian

Comments CVPR 2024, Project page: https://GaussianEditor.github.io

Learning to Transform Dynamically for Better Adversarial Transferability

Rongyi Zhu, Zeliang Zhang, Susan Liang, Zhuo Liu, Chenliang Xu

Comments accepted as a poster in CVPR 2024

PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees

Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar

Comments CVPR 2024

Model editing for distribution shifts in uranium oxide morphological analysis

Davis Brown, Cody Nizinski, Madelyn Shapiro, Corey Fallon, Tianzhixi Yin, Henry Kvinge, Jonathan H. Tu

Comments Presented at CV4MS @ CVPR 2024

D$^4$M: Dataset Distillation via Disentangled Diffusion Model

Duo Su, Junjie Hou, Weizhi Gao, Yingjie Tian, Bowen Tang

Comments Accepted to CVPR 2024

Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning

Shiming Chen, Wenjin Hou, Salman Khan, Fahad Shahbaz Khan

Comments Accepted to CVPR'24

Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation

Fahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast, Hamidreza Yaghoubi Araghi, Mahdieh Soleymani Baghshah

Comments CVPR 2024, 17 pages

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

Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training

Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao

Comments CVPR 2024, code available at Pointcept (https://github.com/Pointcept/Pointcept)

Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation

Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal

Comments CVPR 2024 Workshop; Project website: https://layoutbench.github.io

Towards Better Understanding Attribution Methods

Sukrut Rao, Moritz Böhle, Bernt Schiele

Comments 30 pages, 31 figures, 2 tables, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Journal ref 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 2022, pp. 10213-10222

Large Kernel Distillation Network for Efficient Single Image Super-Resolution

Chengxing Xie, Xiaoming Zhang, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao

Comments Accepted to CVPR workshop 2023

BANF: Band-limited Neural Fields for Levels of Detail Reconstruction

Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

Comments Project Page: https://theialab.github.io/banf

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 20571-20580

PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous Driving

Jiyuan Fu, Zhaoyu Chen, Kaixun Jiang, Haijing Guo, Shuyong Gao, Wenqiang Zhang

Comments First-Place in the CVPR 2024 Workshop Challenge: Black-box Adversarial Attacks on Vision Foundation Models

Continual Forgetting for Pre-trained Vision Models

Hongbo Zhao, Bolin Ni, Haochen Wang, Junsong Fan, Fei Zhu, Yuxi Wang, Yuntao Chen, Gaofeng Meng, Zhaoxiang Zhang

Comments Accepted by CVPR 2024, latest version ahead of carema ready version

PixelLM: Pixel Reasoning with Large Multimodal Model

Zhongwei Ren, Zhicheng Huang, Yunchao Wei, Yao Zhao, Dongmei Fu, Jiashi Feng, Xiaojie Jin

Comments (Accepted by CVPR 2024) Code and models are released at: https://pixellm.github.io/

Integrating Query-aware Segmentation and Cross-Attention for Robust VQA

Wonjun Choi, Sangbeom Lee, Seungyeon Lee, Heechul Jung, Dong-Gyu Lee

Comments CVPR Workshop accepted, Vizwiz Grand Challenge(VQA) 3rd Prize, https://vizwiz.cs.colorado.edu/VizWiz_workshop/abstracts/choi_2024_vizwiz_CVPR.pdf

What Appears Appealing May Not be Significant! -- A Clinical Perspective of Diffusion Models

Vanshali Sharma

Comments Accepted in WiCV (CVPR 2024) under poster category

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation

Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang

Comments Accepted by CVPR 2024

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han

Comments CVPR 2024 Highlight Code: https://github.com/mit-han-lab/distrifuser Website: https://hanlab.mit.edu/projects/distrifusion Blog: https://hanlab.mit.edu/blog/distrifusion

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, Xinggang Wang

Comments CVPR 2024. Project page: https://guanjunwu.github.io/4dgs/

The Manifold Hypothesis for Gradient-Based Explanations

Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg

Comments Extended version of a CVPR Workshop paper, available at CVPR2023W/XAI4CV/papers/Bordt_The_Manifold_Hypothesis_for_Gradient-Based_Explanations_CVPRW_2023_paper.pdf" target="_blank" rel="noopener">https://openaccess.thecvf.com/content/CVPR2023W/XAI4CV/papers/Bordt_The_Manifold_Hypothesis_for_Gradient-Based_Explanations_CVPRW_2023_paper.pdf

Reproducible scaling laws for contrastive language-image learning

Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, Jenia Jitsev

Comments CVPR 2023. Version with minor extension. Original: CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper" target="_blank" rel="noopener">https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 2818-2829

MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results

Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang

Comments Technical report for MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction. arXiv admin note: substantial text overlap with arXiv:2407.01717

Technique Report of CVPR 2024 PBDL Challenges

Ying Fu, Yu Li, Shaodi You, Boxin Shi, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihua Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang, Puhua Chen, Qihang Li

Comments CVPR 2024 PBDL Challenges: https://pbdl-ws.github.io/pbdl2024/challenge/index.html

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion

Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang

Comments Accepted by CVPR 2024, Fig.2 and Equation 4 revised

DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations

Maximilian Augustin, Yannic Neuhaus, Matthias Hein

Comments CVPR 2024

Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap

Jinke Li, Xiao He, Yang Wen, Yuan Gao, Xiaoqiang Cheng, Dan Zhang

Journal ref CVPR (2022) 11809-11818

High-resolution open-vocabulary object 6D pose estimation

Jaime Corsetti, Davide Boscaini, Francesco Giuliari, Changjae Oh, Andrea Cavallaro, Fabio Poiesi

Comments Technical report. Extension of CVPR paper "Open-vocabulary object 6D pose estimation". Project page: https://jcorsetti.github.io/oryon

IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing

Shaofei Wang, Božidar Antić, Andreas Geiger, Siyu Tang

Comments CVPR camera-ready version. Project page: https://neuralbodies.github.io/IntrinsicAvatar

A Survey on Deep Stereo Matching in the Twenties

Fabio Tosi, Luca Bartolomei, Matteo Poggi

Comments Extended version of CVPR 2024 Tutorial "Deep Stereo Matching in the Twenties" (https://sites.google.com/view/stereo-twenties)