26 citations · 50 across the 19 of their papers we have counts for
6 papers · 1 filter
Towards Spatial Supersensing in the Wild
Tianjun Gu, Tianyu Xin, Kuan Zhang +12
Humans can efficiently parse continuous sensory streams, from hours to years, scaffolding an internal world model that grounds spatial reasoning and prediction. To mimic this capac…
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse
Kuan Zhang, Dongchen Liu, Qiyue Zhao +12
The real world unfolds along a single set of physics laws, yet human intelligence demonstrates a remarkable capacity to generalize experiences from this singular physical existence…
GameVerse: Can Vision-Language Models Learn from Video-based Reflection?
Kuan Zhang, Dongchen Liu, Qiyue Zhao +5
Human gameplay is a visually grounded interaction loop in which players act, reflect on failures, and watch tutorials to refine strategies. Can Vision-Language Models (VLMs) also l…
MMSF: Multitask and Multimodal Supervised Framework for WSI Classification and Survival Analysis
Chengying She, Chengwei Chen, Xinran Zhang +4
Multimodal evidence is critical in computational pathology: gigapixel whole slide images capture tumor morphology, while patient-level clinical descriptors preserve complementary c…
EfficientMIL: Efficient Linear-Complexity MIL Method for WSI Classification
Chengying She, Chengwei Chen, Dongjie Fan +5
Whole slide images (WSIs) classification represents a fundamental challenge in computational pathology, where multiple instance learning (MIL) has emerged as the dominant paradigm.…
VISTAR:A User-Centric and Role-Driven Benchmark for Text-to-Image Evaluation
Kaiyuan Jiang, Ruoxi Sun, Ying Cao +4
We present VISTAR, a user-centric, multi-dimensional benchmark for text-to-image (T2I) evaluation that addresses the limitations of existing metrics. VISTAR introduces a two-tier h…