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20232026
most citedDescribe Anything in Medical Images

2 citations · 3 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Late Breaking Results: Audio-Language-Action Models with Direct Speech Conditioning for Robotic Manipulation

Enfu Nan, Pu Zhao, Yixiao Chen +5

Vision-language-action (VLA) models enable robots to follow instructions in typed text, limiting broader deployment in natural speech. The traditional solution by prepending a spee…

cs.LG2026

Posterior Flow Matching

Chenrui Ma, Xi Xiao, Lin Zhao +4

Flow matching learns how to transport noise toward data, but its mean prediction does not directly report the endpoint uncertainty remaining at an intermediate state. This paper in…

cs.CV2026

Dynamic Hub-and-Spoke Memory for Streaming Video Understanding

Xinru Jiang, Lin Zhao, Xi Xiao +7

Streaming video understanding requires answering questions at arbitrary times over a continuously growing visual stream. The central challenge is to compactly remember long-range h…

cs.CV2026

Staying VIGILant: Mitigating Visual Laziness via Counterfactual Visual Alignment in MLLMs

Xi Xiao, Chen Liu, Chih-Ting Liao +9

Multimodal large language models (MLLMs) extend large language models (LLMs) with visual perception, enabling joint reasoning over images and text. Despite inheriting strong reason…

cs.CV2026

PhyGround: Benchmarking Physical Reasoning in Generative World Models

Juyi Lin, Arash Akbari, Yumei He +13

Generative world models are increasingly used for video generation, where learned simulators are expected to capture the physical rules that govern real-world dynamics. However, ev…

cs.CV2026

Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation

Xi Xiao, Chenrui Ma, Yunbei Zhang +7

Low-Rank Adaptation (LoRA) has become a cornerstone of parameter-efficient fine-tuning (PEFT). Yet, its efficacy is hampered by two fundamental limitations: semantic drift, by trea…

cs.CV2026

HIERAMP: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation

Lin Zhao, Xinru Jiang, Xi Xiao +7

Dataset distillation often prioritizes global semantic proximity when creating small surrogate datasets for original large-scale ones. However, object semantics are inherently hier…

cs.CV2026

S2DiT: Sandwich Diffusion Transformer for Mobile Streaming Video Generation

Lin Zhao, Yushu Wu, Aleksei Lebedev +11

Diffusion Transformers (DiTs) have recently improved video generation quality. However, their heavy computational cost makes real-time or on-device generation infeasible. In this w…