CVPR 2024 논문 제출은 이미지났지만 다시오는 제출기회! 바로 워크샵!!

Computer Vision을 연구하시는 분들의 로망! The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 , 일멍 CVPR 2024!!!

이번 CVPR은 연속적으로 잠못드는 밤을 계속 갱신하고 있는 아름다운 시애틀에서 열립니다 🌃

논문제출을 못하여 CVPR 2024에 참석할 수 없던분들! 아직 기회가 하나 더 있습니다. 바로 워크샵 페이퍼나 워크샵 챌린지에 도전하는것 입니다 🤩

CVPR 2024 Workshop(워크샵)은 뭔가요?

일반적으로 컨퍼런스는 메인트랙과 워크샵 트랙으로 구분되어질 수 있습니다. 메인트랙에서는 논문을 모집한 후 논문 리뷰어들의 평가를 거쳐 엄선된 논문들의 발표가 진행됩니다.

컨퍼런스가 이렇게 딱딱 하게만 진행되면 학술교류의 장이라고 할수 없겠죠! 🤔

여기서 워크샵이 등장합니다. 워크샵은 관심사 기반으로 분야를 좁혀서 논문을 모집 하기도하고 대회를 만들어서 결과를 서로 공유 하기도하고 저명한 전문가를 초청하여 세미나를 진행하기도 합니다. 이러다 보니 더욱 교류에 초점을 맞출 수 있겠지요.

컨퍼런스 각각의 워크샵들은 많은 경우 논문을 모집하고 대회를 개최합니다. 이번 CVPR2024에서는 123개의 워크샵이 열리게 되는데요 정말 흥미진진한 주제들로 가득차 있습니다 🥳

CVPR 워크샵 논문 제출일과 대회마감 일정을 한눈에

이렇듯 다양한 곳에서 워크샵을 개최하기 때문에 워크샵 마다 논문 제출 마감일정이 다릅니다. 여러분들이 CVPR에 참여하고자 하시는 욕망이 아직 남아 있으시다면 논문마감 일정과 대회 마감일정이 궁금하실겁니다.

이걸 또 일일이 워크샵 페이지를 찾아들어가서 보기가 또한 상당히 불편하죠. 그래서 제가 워크샵별로 논문 마감일정과 대회마감일정을 정리해 보았습니다.

아직 CVPR에 미련이 남으신 분들!!! 아직 늦지 않았습니다. 도전해보세요!! 🤗

그리고 워크샵에 도전하실 예정이라면 모두연에 LAB을 만들고 사람들을 모아서 도전해보세요. 페이퍼샵 지원제도를 활용하여 CVPR애 다녀오실 수 있도록 200만원을 브라이언임팩트를 통해서 지원해드립니다.

페이퍼샵은 모두의연구소 LAB의 연구활성화를 위해서 브라이언임팩트에서 지원하는 논문작성 지원제도입니다. 모두의연구소에서 LAB을 만들고 관심사 기반 사람들을 모집하신 후 함께 논문작성에 성공해보세요!

아래의 리스트 중 2024년 2월 14일 현재 워큭샵 페이지가 완성되지 않은 곳은 연결 링크가 없습니다. 또한 TBD는 아직 결정되지 않은 사항이여서 향후 업데이트 되는대로 수정해 두도록 하겠습니다.

주의 : 옮기는 과정에서 오류가 발생했을 수 있으니 정확한 정보는 꼭 워크샵 페이지에서 제대로 확인해주세요 (마감일은 대부분 Pacific time 기준입니다)

Track on 3D Scene Understanding	논문마감	대회제출 마감
Multimodalities for 3D Scenes	TBD
OpenSUN3D: 2nd Workshop on Open-Vocabulary 3D Scene Understanding	4.1	TBD
ScanNet++ Novel View Synthesis and 3D Semantic Understanding Challenge		TBD

Track on 3D Vision	논문제출 마감	대회 제출 마감
2nd Workshop on Compositional 3D Vision	Archival track : 3.12 Non-archival track : 4.12	4.1
(3rd) Monocular Depth Estimation Challenge		3.25
7th International Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues	TBD
Second Workshop for Learning 3D with Multi-View Supervision	3.12
ViLMa – Visual Localization and Mapping	TBD

Track on Applications	논문제출 마감	대회 제출 마감
10th IEEE International Workshop on Computer Vision in Sports (CVsports)	3.11
Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture	3.15	6.3
Computer Vision in the Wild	4.28	6.2
EarthVision: Large Scale Computer Vision for Remote Sensing Imagery	3.8
GAZE 2024: The 6th International Workshop on Gaze Estimation and Prediction in the Wild	3.8
MetaFood Workshop (MTF)	3.4	TBD
RetailVision4 – Field Overview and Amazon Deep Dive	–	5.31 (registration)
ViGAIS: Vision, Graphics and AI for Streaming	4.1	3.15
Workshop on Virtual Try-On	–	–

Track on Assistive Technology	논문제출 마감	대회 제출 마감
AVA: Accessibility, Vision and Autonomy Meet	TBD	TBD
VizWiz Grand Challenge: Describing Images and Videos Taken by Blind People		5.3

Track on Assortment of Recognition Topics	논문제출 마감	대회 제출 마감
2nd Workshop on Scene Graphs and Graph Representation Learning	3.10
FGVC11: 11th Workshop on Fine-grained Visual Categorization	3.1
Image Matching: Local Features and Beyond	3.18	TBD
L3D-IVU: 3rd Workshop on Learning with Limited Labelled Data for Image and Video Understanding	3.6	3.29
New frontiers for zero-shot Image Captioning Evaluation (NICE)		3.14
Representation Learning with Very Limited Images: Zero-shot, Unsupervised, and Synthetic Learning in the Era of Big Models	3.21

Track on Autonomous Driving	논문제출 마감	대회 제출 마감
7th Workshop on Autonomous Driving (WAD)	4.5
Data-Driven Autonomous Driving Simulation (DDASD)	TBD
Populating Empty Cities – Virtual Humans for Robotics and Autonomous Driving
Vision and Language for Autonomous Driving and Robotics (VLADR)	3.15

Track on Biometrics and Forensics	논문제출 마감	대회 제출 마감
2nd Face Recognition Challenge in the Era of Synthetic Data (FRCSyn)		4.1
2nd Workshop and Challenge on DeepFake Analysis and Detection	3.1	6.1
6th Workshop and Competition on Affective Behavior Analysis in-the-wild	3.30	3.18
8th Workshop on Media Forensics	3.19
CVPR 2024 Biometrics Workshop	3.4
The 5th Face Anti-Spoofing Workshop		3.3

Track on Computational Photography	논문제출 마감	대회 제출 마감
20th Workshop on Perception Beyond the Visible Spectrum	3.7	3개의 트랙 (3월 초 중순)
9th New Trends in Image Restoration and Enhancement Workshop and Challenges	3.10	3.14
IEEE International Workshop on Computational Cameras and Displays	TBD
The 5th Omnidirectional Computer Vision Workshop	3.17	6.15
The 7th Workshop and Challenge Bridging the Gap between Computational Photography and Visual Recognition (UG2+)	TBD	TBD

Track on Contemporary discussions and Community building	논문제출 마감	대회 제출 마감
CV 20/20: A Retrospective Vision	–	–
LatinX in Computer Vision Research Workshop	3.3
Women in Computer Vision	3.12

Track on Content Creation	논문제출 마감	대회 제출 마감
AI for 3D Generation	4.5
AI for Content Creation (AI4CC)	3.21
AI for Creative Visual Content Generation Editing and Understanding	TBD
Workshop on Computer Vision for Fashion, Art, and Design	3.13
Workshop on Graphic Design Understanding and Generation (GDUG)	3.25

Track on Efficient Methods	논문제출 마감	대회 제출 마감
Efficient Large Vision Models	3.8
Fifth Workshop on Neural Architecture Search	3.25
The 7th Workshop on Efficient Deep Learning for Computer Vision

Track on Egocentric & Embodied AI	논문제출 마감	대회 제출 마감
EgoMotion: Egocentric Body Motion Tracking, Synthesis and Action Recognition
First Joint Egocentric Vision (EgoVis) Workshop	5.1	5.3
The 5th Annual Embodied AI Workshop

Track on Emerging Learning Paradigms	논문제출 마감	대회 제출 마감
1st Workshop on Dataset Distillation for Computer Vision
1st Workshop on Test-Time Adaptation: Model, Adapt Thyself! (MAT)
5th Workshop on Continual Learning in Computer Vision (CLVISION)	3.1
Computer Vision with Humans in the Loop	–	–
The 3rd International Workshop on Federated Learning for Computer Vision (FedVision-2024)	3.11
Workshop on TDLCV: Topological Deep Learning for Computer Vision	–	–

Track on Emerging Topics	논문제출 마감	대회 제출 마감
Equivariant Vision: From Theory to Practice	3.22
Implicit Neural Representation for Vision	3.21
Prompting in Vision	3.15
The Sixth Workshop on Precognition: Seeing through the Future	3.24
Tool-Augmented VIsion Workshop	–	–

Track on Foundation Models	논문제출 마감	대회 제출 마감
2nd Workshop on Foundation Models	3.20
2nd Workshop on What is Next in Multimodal Foundation Models?”	3.14
Foundation Models for Autonomous Systems		6.1
The 3rd Workshop on Transformers for Vision
The 4th Workshop of Adversarial Machine Learning on Computer Vision: Robustness of Foundation Models	3.5
Towards 3D Foundation Models: Progress and Prospects

Track on Generative Models	논문제출 마감	대회 제출 마감
2nd Workshop on Generative Models for Computer Vision	–
First Workshop on Efficient and On-Device Generation (EDGE)	3.22
GenAI Media Generation Challenge for Computer Vision Workshop
ReGenAI: First Workshop on Responsible Generative AI	3.15
The First Workshop on the Evaluation of Generative Foundation Models	4.4

Track on Human Understanding	논문제출 마감	대회 제출 마감
New Challenges in 3D Human Understanding	–	–
New Trends in Multimodal Human Action Perception, Understanding and Generation	TBD
Rhobin 2024: The second Rhobin challenge on Reconstruction of Human-Object Interaction	3.14
Workshop on Human Motion Generation	3.19

Track on Medical Vision	논문제출 마감	대회 제출 마감
9th Workshop on Computer Vision for Microscopy Image Analysis	3.22
Data Curation and Augmentation in Enhancing Medical Imaging Applications	3.17 oe 3.31 (트랙별로 다름)
Domain adaptation, Explainability and Fairness in AI for Medical Image Analysis (DEF-AI-MIA)	3.23
Foundation Models for Medical Vision	–	–

Track on Mobile and Embedded Vision	논문제출 마감	대회 제출 마감
4th Mobile AI Workshop and Challenges	3.10	TBD
Embedded Vision Workshop	3.15
Third Workshop of Mobile Intelligent Photography & Imaging	3.10	3.6

Track on Multimodal Learning	논문제출 마감	대회 제출 마감
7th MUltimodal Learning and Applications	3.2
Multimodal Algorithmic Reasoning Workshop	3.11	3.31
Sight and Sound

Track on Neural Rendering	논문제출 마감	대회 제출 마감
1st Workshop on Neural Volumetric Video
Neural Rendering Intelligence	3.20
XRNeRF: Second Workshop on Advances in Radiance Fields for the Metaverse	4.14

Track on Open World Learning	논문제출 마감	대회 제출 마감
VAND 2.0: Visual Anomaly and Novelty Detection	3.7
Visual Perception via Learning in an Open World		6.10

Track on Physics, Graphics, Geometry, AR/VR/MR	논문제출 마감	대회 제출 마감
4th Workshop on Physics Based Vision meets Deep Learning (PBDL2024)
Computer Vision for Mixed Reality
Social Presence with Codec Avatars	TBD
The Sixth Workshop on Deep Learning for Geometric Computing (DLGC 2024)	3.17	6.3

Track on Responsible and Explainable AI	논문제출 마감	대회 제출 마감
2nd Workshop on Multimodal Content Moderation
Ethical Considerations in Creative Applications of Computer Vision
Safe Artificial Intelligence for All Domains (SAIAD)	3.20
The 3rd Explainable AI for Computer Vision (XAI4CV) Workshop	3.15
The Fifth Workshop on Fair, Data-efficient, and Trusted Computer Vision	3.25
Workshop on Responsible Data	3.31

Track on Robot Learning	논문제출 마감	대회 제출 마감
5th Workshop on Robot Visual Perception in Human Crowded Environments	3.27
CVPR 2024 Workshop on Causal and Object-Centric Computer Vision for Robot Learning

Track on Science Applications	논문제출 마감	대회 제출 마감
4th Workshop on CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling	3.27
AI4Space 2024	3.1
Computer Vision for Materials Science Workshop	3.17
CV4Science	TBD
The Seventh International Workshop on Computer Vision for Physiological Measurement (CVPM)	3.1

Track on Sythetic Data	논문제출 마감	대회 제출 마감
3rd Workshop on Vision Datasets Understanding and DataCV Challenge	3.20	3.16
SyntaGen: Harnessing Generative Models for Synthetic Visual Datasets	TBD
Synthetic Data for Computer Vision	3.15

Track on Urban Environments	논문제출 마감	대회 제출 마감
1st Workshop on Urban Scene Modeling: Where Vision Meets Photogrammetry and Graphics	3.24
4th Workshop and Challenge on Computer Vision in the Built Environment for the Design, Construction, and Operation of Buildings	4.1	5.25
8th AI City Challenge	4.7	3.25

Track on Video Understanding	논문제출 마감	대회 제출 마감
4th International Workshop on Long-form Video Understanding: Towards Multimodal AI Assistant and Copilot
5th International Workshop on Large Scale Holistic Video Understanding	TBD
Learning from Procedural Videos and Language: What is Next?	3.20
Pixel-level Video Understanding in the Wild Challenge		3.15~3.25 (여러개의 트랙)
What is Next in Video Understanding?	4.11

엄청나게 많은 워크샵들이네요. 혼자 도전하기 어려우시다면 모두연에 LAB을 만들고 함께 도전하시길 추천드립니다. 그러면 지원금도 받을 수 있으니까요! 우후후.

여러분의 성공적인 리서치를 기원하며! 이만 줄입니다!!!

언제나 화이팅하세요 🫡