We are presenting our work,
“MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models” at CVPR 2026 in Denver!
Time: Jun 6, 2026 • 11:45 AM – 1:45 PM
Location: Poster Session 3, Hall F
Paper: https://t.co/xDIXIk1qzq
We are presenting our work,
“DocPrune: Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning” at CVPR 2026 in Denver!
Time: Jun 5, 2026 • 10:45 AM – 12:45 PM
Location: Poster Session 1, Hall A-F
Paper: https://t.co/DsD6X6tS36
Huge congrats to all co-authors! Three papers from MLV got accepted to CVPR 2026! Please visit our homepage to take a closer look. https://t.co/bsXtChQk2I
🚀 Excited to share that we’ll be presenting our work, “DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO” at NeurIPS 2025 in San Diego!
🕙 When: 12/5 (Fri), 4:30 PM – 7:30 PM
📍 Where: Exhibit Hall C,D,E
🪧 Poster ID: 4418
See you soon!
🚀 Excited to share that we’ll be presenting our work, “Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection” at NeurIPS 2025 in San Diego!
🕙 When: 12/5 (Fri), 11:00 AM – 2:00 PM
📍 Where: Exhibit Hall C,D,E
🪧 Poster ID: 4911
See you soon!
😆 We presented our work "PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs" at NeurIPS 2025 in San Diego!
🗓️ Date: 12/3 (Wed), 4:30 PM – 7:30 PM
Paper: https://t.co/lQhK9zbreH
We appreciate everyone who visited and discussed our work!
#NeurIPS25
😆We presented our work "Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation" at NeurIPS 2025 in San Diego
🗓️ Date: 12/3 (Wed), 11:00 AM – 2:00 PM
Paper: https://t.co/StZ3tqTzKT
We appreciate everyone who visited and discussed our work!
😆 We are presenting our work,
“Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization” in Suzhou, EMNLP’25!
@so0zip
Paper: https://t.co/WDEob1sjHl
Homepage: https://t.co/3SSQ3HIMrn
See you soon!!
#EMNLP2025#Retrieval#VideoLLM#DPO
😆 We are presenting our work,
“Representation Shift: Unifying Token Compression with FlashAttention” in Hawaii, ICCV’25!
Time: 10/23(Thu), 14:15
Location: Exhibit Hall I
PosterID: 1883
Paper: https://t.co/avx1I5UnQT
#ICCV2025#Efficiency#Representation
😆 We are presenting our work,
“Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval” in Hawaii, ICCV’25!
Time:10/23(Thu), 10:45
Location: Exhibit Hall I
PosterID: 232
Paper: https://t.co/83Gc9OTJTB
#ICCV2025#Retrieval#MLLM
🎉 Four papers from MLV Lab have been accepted to NeurIPS 2025! 🎉
Huge congratulations to all the authors and collaborators on these amazing achievements
@dogyunPark@parkjiny777@Jwon_chu#NeurIPS2025#MLVLab
See you at San Diego & Mexico City! 🇺🇸🇲🇽
Huge congrats to all co-authors!
Two papers from MLV got accepted to ICCV 25!
Please visit our homepage to take a closer look. https://t.co/QJwDIiCV0O
@godohwan@so0zip @JoonMyungChoi @sanghyeok__Lee#ICCV2025
We are proud to share that Seunghun Lee successfully delivered an oral presentation of "Latent Bayesian Optimization via Autoregressive Normalizing Flows" at ICLR 2025!
Congrats on this great achievement!
Paper: https://t.co/rk1L0h64b5
Github: https://t.co/wMZlkWxaEf
#ICLR2025
Huge congrats!
Our paper got accepted to CVPR’25.
EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim*
Paper: https://t.co/cZ62LbnZDK
Github: https://t.co/b29TZ1Z7zp
#CVPR25#Mamba
We are presenting our work, “VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning” in Philadelphia, AAAI’24!
Time:2/27 (Thu.) 12:30 - 14:30
Location: Hall E, West Building
PosterID: 8542
Paper: https://t.co/JNkYJZYPGq
#AAAI2025
We are presenting our work, “Super-class guided Transformer for Zero-Shot Attribute Classification” in Philadelphia, AAAI’24!
Time: 3/1 (Sat.) 12:30 - 14:30
Location: Hall E of the West Building
PosterID: 7611
Paper: https://t.co/JNkYJZYPGq
#AAAI2025