Is language a "terrible abstraction" for video understanding? Many in the video community often dismiss language-driven approaches in favor of complex, video-native solutions. However, I believe this resistance stems more from internal bias—validating a research identity as a

🚨 Check out our awesome students/postdocs' papers at #EMNLP2025 and say hi to them 👋! Also, I will give a keynote (virtually) on "Attributable, Conflict-Robust, and Multimodal Summarization with Multi-Source Retrieval" at the NewSumm workshop. -- Jaehong (in-person) finished

@cyjustinchen @ArchikiPrasad @swarnaNLP @EliasEskin -- Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning @ZiyangW00 @jaeh0ng_yoon @shoubin621 @mmiemon @gberta227 https://t.co/THxKAhgCPX https://t.co/c6s8hnrKFH

🚨 BREAKING: AI Can't Actually See Videos. New benchmark shows mainstream LVLMs barely hit 60% accuracy—while humans reach 94.82%. This isn’t a glitch—it’s a fundamental failure in video understanding. LVLMs are doing visual theater, not real comprehension.

🎉 Excited to share that 5/5 of my papers (3 main, 2 findings) have been accepted at #EMNLP2025, in video/multimodal reasoning, instructional video editing, and efficient LLM adaptation & reasoning! 🚨 I’m recruiting Ph.D. students to join the Multimodal AI Group at NTU College

🥳 Honored and grateful to be awarded an NDSEG Fellowship in Computer Science! 💫🇺🇸 Big thanks to my advisor @mohitban47 for his guidance, and shoutout to my lab mates at @unc_ai_group, collaborators, internship advisors, and mentors for their support 🤗 Excited to continue

I'll be joining the faculty @JohnsHopkins late next year as a tenure-track assistant professor in @JHUCompSci Looking for PhD students to join me tackling fun problems in robot manipulation, learning from human data, understanding+predicting physical interactions, and beyond!

Can AI models teach you to shoot like Steph Curry? 🏀 Come to my talk on Challenges in Expert-Level Skill Analysis at 4:30 pm in Room 318-A tomorrow (Sunday) to find out! https://t.co/gYPFtEB1ZU #ICCV2025

How can an agent reverse engineer the underlying laws of an unknown, hostile & stochastic environment in “one life”, without millions of steps + human-provided goals / rewards? In our work, we: 1️⃣ infer an executable symbolic world model (a probabilistic program capturing

📣 Announcing 1st International Workshop on Skilled Activity Understanding, Assessment & Feedback Generation @ICCVConference! 🎙️ All-star keynotes: @anfurnari, @walteriomayolc, @rgnespolo, @gberta227, Kristen Grauman, @eadeli 🧠+ Poster Presentations 🗓 Oct 19 · 1:45–6 PM HST

Excited to share our new work: “Learning to See Before Seeing”! 🧠➡️👀 We investigate an interesting phenomeno: how do LLMs, trained only on text, learn about the visual world? Project page: https://t.co/9mQt3qnckL

🎉Our Video-RTS paper has been accepted at #EMNLP2025 Main!! We propose a novel video reasoning approach that combines data-efficient reinforcement learning (GRPO) with video-adaptive test-time scaling, improving reasoning performance while maintaining efficiency on multiple

Checkout our new paper: Video-RTS 🎥 A data-efficient RL method for complex video reasoning tasks. 🔹 Pure RL w/ output-based rewards. 🔹 Novel sparse-to-dense Test-Time Scaling (TTS) to expand input frames via self-consistency. 💥 96.4% less training data! More in the thread👇

🚨Introducing Video-RTS: Resource-Efficient RL for Video Reasoning with Adaptive Video TTS! While RL-based video reasoning with LLMs has advanced, the reliance on large-scale SFT with extensive video data and long CoT annotations remains a major bottleneck. Video-RTS tackles

🚀 On the job market! Final-year PhD @ UNC Chapel Hill working on computer vision, video understanding, multimodal LLMs & AI agents. 2x Research Scientist Intern @Meta 🔍 Seeking Research Scientist/Engineer roles! 🔗 https://t.co/z9ioZPFCi9 📧 mmiemon [at] cs [dot] unc [dot] edu

Great to see our paper ReVisionLLM featured by MCML blog! @gberta227 #CVPR2025

Come to our poster today at #CVPR2025! 🗓️ June 15 | 🕓 4–6PM 📍 Poster #282 | ExHall D 📝 Paper: https://t.co/4XCHPFWchy 🌐 Project: https://t.co/alktUQtIzE 💻 Code: https://t.co/mRWxTRCh6z 🎥 Youtube:

Great to see a lot of interest among the video understanding community about ReVisionLLM! If you missed it, checkout https://t.co/KAF47QI7yp @hannan_tanveer

Presenting ReVisionLLM at #CVPR2025 today! Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos If you are at CVPR, please stop by 📍 Poster #307, Session 4 🗓️ June 14, 5–7PM | ExHall D 🔗 https://t.co/qrBvf2UUAo @hannan_tanveer @gberta227

Another great accomplishment by Emon this #CVPR2025. Interestingly, rather than using some complex ensemble model, Emon won the EgoSchema challenge by simply applying his latest BIMBA model, which he will also present at the poster session on Sunday 4-6pm. Be sure to stop by!