2/2 papers accepted at WACV 2025!
1. "Towards a Training Free Approach for 3D Scene Editing" (accepted in second round)
2. "Adversarial Learning based Knowledge Distillation on 3D Point Clouds" (accepted in first round)
Can conditional generative models achieve strong visual representations, inherently?
We introduce BiGR, a conditional image generation model that unifies generative and discriminative tasks.
Project: https://t.co/h61iy9pDrH
Paper: https://t.co/qz6QxVyOnW
@kaihan_vis @haozsh
🚨 Introducing Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation.
Given an image pair, it is easier for an MLLM to identify fine-grained visual differences during VQA evaluation than to independently detect and describe such differences 🧵(1/n):
📢📢📢Introducing ConceptExpress for unsupervised
concept extraction from a single image. #ECCV2024
📖https://t.co/YwwmnMf4Bi
🌐https://t.co/iAaEAnMvvp
🧑💻https://t.co/ezf2zfE4tq
@haoshaozhe
Announcing 3D Vision Summer School 2024 to be held at IIIT Bangalore this year from 26May-1June. Offers a weeklong deep dive into 3D computer vision, Human Modelling, Rendering, Point Clouds, Meshes, 3D Generative AI & Animation with hands-on exp. #IIITH
https://t.co/g7EkRjrL0Z
Get ready for the highest quality primer on 3D Computer Vision from some of the greatest minds!
🚀 🚀 🚀
Register Now! ⏰️
P.S. I'll be taking few hands-on sessions. 🙌🏻
(2/2)
Contrastive learning (CL) and optimal transport (OT) are designed to complement each other synergistically. CL establishes coarse class clusters in both source and target domains individually, while OT aligns classes across domains.
(1/2)
📢Our paper "Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation" was invited for an Oral presentation at #WACV2024!
webpage: https://t.co/JyZ0GgdLdW
arxiv: https://t.co/a7R7JcIwVo
video: https://t.co/eAzGhiadqy
Chandrayaan-3 Mission:
'India🇮🇳,
I reached my destination
and you too!'
: Chandrayaan-3
Chandrayaan-3 has successfully
soft-landed on the moon 🌖!.
Congratulations, India🇮🇳!
#Chandrayaan_3#Ch3
@wacv_official@xieqian26 Thanks for the update!
In my CMT the paper status and meta-reviews say accept, however, I haven't received an official mail of acceptance. Is this a cause for concern?
Overjoyed to share that our paper titled "Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation" has been accepted at #WACV2024!!
More details coming soon...
Neural fields are emerging as useful signal representations in computer vision & beyond. Our full-day introductory @CVPR tutorial on the topic is now public.
Video: https://t.co/e1EaySsOaI
Slides: https://t.co/AmTCAzIAO1
Web: https://t.co/zZAJwBNs7W
Excited to share our #NeurIPS2022@NVIDIAAI work GET3D, a generative model that directly produces explicit textured 3D meshes with complex topology, rich geometric details, and high fidelity textures. #3D
Project page: https://t.co/LEkj9eqG69
As the fall semester is starting, this is the bi-yearly reminder of the collections of courses and seminars on geometry processing available here:
https://t.co/0ri7XYumuD
Ping me if you teach geometry processing / have a public zoom seminar and want your course / seminar added.