CVPR

DETRs with Hybrid Matching

Ding Jia, Yuhui Yuan, Haodi He, Xiaopei Wu, Haojun Yu, Weihong Lin, Lei Sun, Chao Zhang, Han Hu

Comments CVPR 2023. The code is available at: https://github.com/HDETR

AutoRecon: Automated 3D Object Discovery and Reconstruction

Yuang Wang, Xingyi He, Sida Peng, Haotong Lin, Hujun Bao, Xiaowei Zhou

Comments Accepted to CVPR 2023 (Highlight). Project page: https://zju3dv.github.io/autorecon

GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training

Xiaoyu Tian, Haoxi Ran, Yue Wang, Hang Zhao

Comments Accepted to CVPR 2023

NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation

Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, Cewu Lu

Comments CVPR 2023

SB-VQA: A Stack-Based Video Quality Assessment Framework for Video Enhancement

Ding-Jiun Huang, Yu-Ting Kao, Tieh-Hung Chuang, Ya-Chun Tsai, Jing-Kai Lou, Shuen-Huei Guan

Comments CVPR NTIRE 2023

t-RAIN: Robust generalization under weather-aliasing label shift attacks

Aboli Marathe, Sanjana Prabhu

Comments Accepted at Affective Behavior Analysis in-the-wild (ABAW) at CVPR 2023

QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms

Guillaume Berger, Manik Dhingra, Antoine Mercier, Yashesh Savani, Sunny Panchal, Fatih Porikli

Comments Camera-ready version (CVPR workshop - MAI'23)

Masked Autoencoding Does Not Help Natural Language Supervision at Scale

Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter

Comments Accepted at CVPR 2023

Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn

Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy Hospedales

Comments Accepted at CVPR 2023. Project page: https://edi-meta-learning.github.io/meta-omnium

Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training

Siddarth Asokan, Chandra Sekhar Seelamantula

Comments CVPR 2023

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models

Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha

Comments Accepted in Vision Datasets Understanding at CVPR 2023

BlendFields: Few-Shot Example-Driven Facial Modeling

Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzciński, Marek Kowalski

Comments Accepted to CVPR 2023. Project page: https://blendfields.github.io/

BundleRecon: Ray Bundle-Based 3D Neural Reconstruction

Weikun Zhang, Jianke Zhu

Comments CVPR 2023 workshop XRNeRF: Advances in NeRF for the Metaverse

MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition

Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan

Comments Accepted to CVPR 2023

AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction

Aggelina Chatziagapi, Dimitris Samaras

Comments Accepted by CVPR 2023. Project page: https://aggelinacha.github.io/AVFace/

Feature-compatible Progressive Learning for Video Copy Detection

Wenhao Wang, Yifan Sun, Yi Yang

Comments The second place solutions for both tracks of Meta AI Video Similarity Challenge (VSC22), CVPR 2023

Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability

Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky

Comments Published at CVPR 2023

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

Xinyu Liu, Houwen Peng, Ningxin Zheng, Yuqing Yang, Han Hu, Yixuan Yuan

Comments CVPR 2023

Virtual Occlusions Through Implicit Depth

Jamie Watson, Mohamed Sayed, Zawar Qureshi, Gabriel J. Brostow, Sara Vicente, Oisin Mac Aodha, Michael Firman

Comments Accepted to CVPR 2023

HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation

Akash Sengupta, Ignas Budvytis, Roberto Cipolla

Comments CVPR 2023

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer

Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang

Comments CVPR 2023

PointConvFormer: Revenge of the Point-based Convolution

Wenxuan Wu, Li Fuxin, Qi Shan

Comments Accepted at CVPR 2023

Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks

Olaf Wysocki, Yan Xia, Magdalena Wysocki, Eleonora Grilli, Ludwig Hoegner, Daniel Cremers, Uwe Stilla

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

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li

Comments Accepted by CVPR 2023

Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

Renrui Zhang, Liuhui Wang, Ziyu Guo, Yali Wang, Peng Gao, Hongsheng Li, Jianbo Shi

Comments Accepted by CVPR 2023. Code is available at https://github.com/ZrrSkywalker/Point-NN

TarViS: A Unified Approach for Target-based Video Segmentation

Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe

Comments Accepted to CVPR'23 (Highlight). Code is available at: https://github.com/Ali2500/TarViS

DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects

Chen Bao, Helin Xu, Yuzhe Qin, Xiaolong Wang

Comments Accepted to CVPR 2023. Project page: https://www.chenbao.tech/dexart/ Equal contributors: Chen Bao, Helin Xu

All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes

Katja Ludwig, Julian Lorenz, Robin Schön, Rainer Lienhart

Comments Accepted at CVSports23 (Workshop at CVPR 23)

ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field

Zhe Jun Tang, Tat-Jen Cham, Haiyu Zhao

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

Journal ref IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023

Zero-Shot Noise2Noise: Efficient Image Denoising without any Data

Youssef Mansour, Reinhard Heckel

Journal ref Conference paper at CVPR 2023