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2026 顶会论文

作者位次 #4/4ICLR 2026Poster· Deep Learning / Graph Neural Networks

Revisting Node Affinity Prediction In Temporal Graphs

Or Feldman · Krishna Sri Ipsit Mantri · Moshe Eliasof · Chaim Baskin

OpenReview

作者位次 #3/3ICLR 2026Poster· Computer Vision / Vision Models & Multimodal

Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking

Mitchell Keren Taraday · Shahaf Wagner · Chaim Baskin

多模态效率与系统OpenReview

作者位次 #3/3CVPR 2026Poster· Computer Vision & Pattern Recognition

Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment

Roy Amoyal · Oren Freifeld · Chaim Baskin

对齐与偏好多模态OpenReview 项目页

作者位次 #4/4CVPR 2026Poster· Computer Vision & Pattern Recognition

HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering

Dan Ben Ami · Gabriele Serussi · Kobi Cohen · Chaim Baskin

多模态评测与基准检索与知识OpenReview 项目页

作者位次 #4/5ACL 2026Poster· Natural Language Processing

CARES : Context-Aware Resolution Selector for VLM s

Moshe Kimhi · Nimrod Shabtay · Raja Giryes · Chaim Baskin · Eli Schwartz

摘要

Large vision–language models (VLMs) commonly process images at native or high resolution to remain effective across tasks. This inflates visual tokens to 97-99% of total tokens, resulting in high compute and latency, even when low-resolution images would suffice. We introduce CARES —a C ontext- A...

多模态效率与系统评测与基准OpenReview 项目页

作者位次 #3/3IROS 2026Poster· Fusing Modalities for Robust Road Perception

DeeperRadar: End-To-End MIMO Radar Design and Multi-Modal Fusion for Autonomous Vehicle Perception

Eli Goldenshluger · Barak Pinkovich · Chaim Baskin

多模态Sensor FusionDeep Learning for Visual PerceptionObject Detection, Segmentation and CategorizationOpenReview

Chaim Baskin

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