📢 Excited to share our latest #NeurIPS2025 work on tracking and understanding object transformations!
🔗: https://t.co/UR3pLVwiet
Come chat with us on Friday 12/5, 11AM-2PM, at Poster #4703!
Continuing with NeurIPS: On Friday (12/5, 11AM-2PM, #4703), @YihongSun_ will be presenting our #NeurIPS2025 work on tracking objects through state changes.
Excited to announce our #AISTATS📜on training LLMs with MXFP4! We use stoch. rounding and random Hadamard transforms (all fast on HW) to get low-variance, unbiased gradient estimates with MXFP4 GEMMs. We get a ~30% speedup over FP8 with almost no PPL gap!
https://t.co/UiVCRMXlsS
📢 Excited to share our latest work: Video Creation by Demonstration!
arXiv: https://t.co/WRihWGSm0j
Check out our results here: https://t.co/GhYNisIjyn
Introducing our latest work Video Creation by Demonstration, a novel video creation experience.
Paper: https://t.co/YZFCLKj5aM
Project: https://t.co/o9inp7qScE
Huggingface: https://t.co/Lg5h7kvr70
Happy to get feedback and questions! For more details, please check out our paper! See you on Friday 10/4 at Poster Session 7, #73! 😃
Huge thanks to my advisor, @BharathHarihar3! This wouldn’t have been possible without your support!
(7/n)
📢Excited to share our latest @eccvconf work MOD-UV on learning object detectors from unlabeled videos only!
🔗: https://t.co/QdmVsTpfeG
I will give a talk at Wild3D workshop (cc: @weichiuma) on Monday 9/30 and come chat with us on Friday 10/4 at Poster Session 7, #73!
Results: We obtain significant improvements over previous unsupervised object detection methods across multiple datasets & metrics, with notable improvements in Box AR by 6.6 on Waymo Open, 5.9 on nuScenes, and 8.2 on KITTI compared to CutLER.
(6/n)
Thanks @arankomatsuzaki for sharing our #CVPR2024 ViTamin work!
Collaborated with @yucornetto1, Xiaohui Shen, @YuilleAlan and Liang-Chieh Chen
TLDR: We design a scalable vision model in the vision-language era, advancing the limits for VLMs and multi-modal LLMs!
Excited to share our work, ObjectCarver! Given multiview images and click points on one image, ObjectCarver decomposes scenes into separate objects, providing high-quality 3D surfaces while handling occlusion and close-contact objects. (1/6)
website: https://t.co/vi5UVkUMBc