106 citations · 356 across the 61 of their papers we have counts for
7 papers · 2 filters
WIRE: Weight Space Implicit Representation Encoding of Frozen Video LLMs
Ameen Ali, Tamim Zoabi, Lior Wolf +1
Video language models represent a video as a long sequence of visual embeddings in a decoder's input. Every visual embedding is processed by every decoder layer during prefill, sto…
Have I Seen Enough? Frozen Video-Language Models Encode Evidence Readiness
Dan Ben-Ami, Kobi Cohen, Chaim Baskin
Streaming video-language models must decide not only what to answer, but whether the evidence needed for the current question has arrived. Existing systems learn that decision as a…
CXR-Retrieve: Compositional Text-to-Image Retrieval in Chest Radiography
Tomer Erez, Moshe Kimhi, Chaim Baskin +1
Large chest radiography archives are difficult to search because most studies are paired only with free-text reports rather than structured clinical annotations. Vision-language mo…
Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment
Roy Amoyal, Oren Freifeld, Chaim Baskin
We present Gaussian Splatting Alignment (GSA), a novel method for aligning two independent 3D Gaussian Splatting (3DGS) models via a similarity transformation (rotation, translatio…
Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs
Nimrod Shabtay, Moshe Kimhi, Artem Spector +5
Vision-language models (VLMs) typically process images at a native high-resolution, forcing a trade-off between accuracy and computational efficiency: high-resolution inputs captur…
HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering
Dan Ben-Ami, Gabriele Serussi, Kobi Cohen +1
Long-form video question answering requires reasoning over extended temporal contexts, making frame selection a critical bottleneck for multi-modal large language models (MLLMs) bo…
PREGEN: Uncovering Latent Thoughts in Composed Video Retrieval
Gabriele Serussi, David Vainshtein, Jonathan Kouchly +2
Composed Video Retrieval (CoVR) aims to retrieve a video based on a query video and a modifying text. Current CoVR methods fail to fully exploit modern Vision-Language Models (VLMs…