Research associate @ ELLIS Unit, LIT AI Lab, Institute for Machine Learning, JKU Linz. Collab with MIT-IBM Watson AI Lab. PhD@TU Graz
Graz, Austria
Joined January 2022
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Wei Lin @ CVPR 2025 retweeted
Huge thanks to my amazing co-authors: @shyam__marjit @WeiLinCV @leokarlin @jmie_mirza
📄 Paper: arxiv.org/abs/2610.01687
🌐 Project: akshit21112002.github.io/Arc…
💻 Code: github.com/Akshit21112002/Ar…
Working on test-time scaling or VLMs? Would love to chat
Excited to share our paper “PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies” has been accepted to ICLR 2026 🎉 🥳This work means a lot to me as it's my first time serving as the last author supervising a Master student Huge congrats to Lukas Selch!
🙏✨Many thanks to all co-authors for the great collaboration: @LukasSelch @yufanghou @jmie_mirza @SivanDoveh James Glass @RogerioFeris #ICLR2026 #iclr
🔍📄PRISMM-Bench is the first benchmark built from real reviewer-flagged multimodal inconsistencies in scientific papers, targeting a key challenge for multimodal scientific reasoning. I’m especially happy that the paper was well received, with an initial rating of 6-6-6-6 🙌🔥.
🚀 🚀 We are introducing VisualOverload🎨🖼️, a VQA benchmark designed to test fundamental vision skills in visually dense scenes. 2,720 Q&A pairs across 6 tasks, 150 high-res artworks, and private ground truth. Even top VLMs hit only ~20% on the hardest tasks. Try it yourself🤖👉
🚨 New @ICCVConference 2025 paper!
Can GPT-4o actually localize an object from just a few examples?
Turns out not really. In our @ICCVConference paper, we propose a simple fix: teach it from video tracking data.
Results? Better few-shot localization, stronger context grounding. – at Bhutan
Check our new work pLSTM that brings the power of linear RNNs to arbitrary DAGs and multi-dimensional data, enabling parallel computation and long-range modeling. It outperforms Transformers on extrapolation tasks and handles images, graphs, and grids with remarkable efficiency. – at Nashville, TN
Ever wondered how linear RNNs like #mLSTM (#xLSTM) or #Mamba can be extended to multiple dimensions?
Check out "pLSTM: parallelizable Linear Source Transition Mark networks". #pLSTM works on sequences, images, (directed acyclic) graphs.
Paper link: arxiv.org/abs/2506.11997
Check out our poster and talk with Guofeng at #355 in ExHall D. PerLA, is our new 3D language assistant that helps LLMs better understand the physical world! PerLA fuses local details and global context from point clouds using cross-attention + GNNs, and achieves SOTA on 3D bench – at Nashville, TN
Wei Lin @ CVPR 2025 retweeted
🚨 Our panel kicks off at 11:30 AM in Room 207 A–D (Level 2)!
Don't miss an amazing discussion with: Ludwig Schmidt, Andrew Owens, Arsha Nagrani, and Ani Kembhavi 🔥
Our MMFM Panel Discussion "What is Next in Multimodal Foundation Models?" will happen at 11:30am in room 207 A-D
Moderator: Roei Herzig (UC Berkeley)
Panelists: Ludwig Schmidt, Andrew Owens, Arsha Nagrani, Ani Kembhavi
@MMFMWorkshop
@CVPR – at Nashville, TN
Our next invited talk "Multimodal Learning from the Bottom Up" by Andrew Owens will start at 10:30AM. Do not miss it 😁 – at Nashville, TN
Ludwig Schmidt is giving the first talk on LAION-5B & DataComp: In search of the next generation of multimodal datasets at our MMFM workshop on Zoom 207 A-D! – at Nashville, TN
Workshop website sites.google.com/view/mmfm3r… – at Nashville, TN