activity
20212025
collaborators

5 papers

cs.CV2025

Scene-VLM: Multimodal Video Scene Segmentation via Vision-Language Models

Nimrod Berman, Adam Botach, Emanuel Ben-Baruch +5

Segmenting long-form videos into semantically coherent scenes is a fundamental task in large-scale video understanding. Existing encoder-based methods are limited by visual-centric…

cs.CL2025

Group-Aware Reinforcement Learning for Output Diversity in Large Language Models

Oron Anschel, Alon Shoshan, Adam Botach +7

Large Language Models (LLMs) often suffer from mode collapse, repeatedly generating the same few completions even when many valid answers exist, limiting their diversity across a w…

cs.CV2024

Distilling the Knowledge in Data Pruning

Emanuel Ben-Baruch, Adam Botach, Igor Kviatkovsky +2

With the increasing size of datasets used for training neural networks, data pruning becomes an attractive field of research. However, most current data pruning algorithms are limi…

cs.CV2021

End-to-End Referring Video Object Segmentation with Multimodal Transformers

Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin

The referring video object segmentation task (RVOS) involves segmentation of a text-referred object instance in the frames of a given video. Due to the complex nature of this multi…

cs.CV2021

BIDCD -- Bosch Industrial Depth Completion Dataset

Adam Botach, Yuri Feldman, Yakov Miron +2

We introduce BIDCD -- the Bosch Industrial Depth Completion Dataset. BIDCD is a new RGBD dataset of metallic industrial objects, collected with a depth camera mounted on a robotic…