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20222026
most citedGraph Enhanced Reinforcement Learning for Effective Group Formation in Collaborative Problem Solving

1 citations · 2 across the 13 of their papers we have counts for

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cs.CV2026

WeatherReasonSeg: A Benchmark for Weather-Aware Reasoning Segmentation in Visual Language Models

Wanjun Du, Zifeng Yuan, Tingting Chen +3

Existing vision-language models (VLMs) have demonstrated impressive performance in reasoning-based segmentation. However, current benchmarks are primarily constructed from high-qua…

cs.CV2026

VIEW2SPACE: Studying Multi-View Visual Reasoning from Sparse Observations

Fucai Ke, Zhixi Cai, Boying Li +6

Multi-view visual reasoning is essential for intelligent systems that must understand complex environments from sparse and discrete viewpoints, yet existing research has largely fo…

cs.CV2025

Explain Before You Answer: A Survey on Compositional Visual Reasoning

Fucai Ke, Joy Hsu, Zhixi Cai +10

Compositional visual reasoning has emerged as a key research frontier in multimodal AI, aiming to endow machines with the human-like ability to decompose visual scenes, ground inte…

cs.CV2025

DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning

Fucai Ke, Vijay Kumar B G, Xingjian Leng +6

Visual reasoning (VR), which is crucial in many fields for enabling human-like visual understanding, remains highly challenging. Recently, compositional visual reasoning approaches…

cs.CV2025

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning

Zhixi Cai, Fucai Ke, Simindokht Jahangard +4

Visual Grounding (VG) tasks, such as referring expression detection and segmentation tasks are important for linking visual entities to context, especially in complex reasoning tas…

cs.CV2024

HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning

Fucai Ke, Zhixi Cai, Simindokht Jahangard +3

Recent advances in visual reasoning (VR), particularly with the aid of Large Vision-Language Models (VLMs), show promise but require access to large-scale datasets and face challen…