13 citations · 13 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
LatentSpeech: Latent Diffusion for Text-To-Speech Generation
Haowei Lou, Helen Paik, Pari Delir Haghighi +2
Diffusion-based Generative AI gains significant attention for its superior performance over other generative techniques like Generative Adversarial Networks and Variational Autoenc…
AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites
Jiazhou Liu, Aravinda S. Rao, Fucai Ke +3
Together with industry experts, we are exploring the potential of head-mounted augmented reality to facilitate safety inspections on high-rise construction sites. A particular conc…
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…
Intelligent audit code generation from free text in the context of neurosurgery
Sedigheh Khademi, Christopher Palmer, Pari Delir Haghighi +2
Clinical auditing requires codified data for aggregation and analysis of patterns. However in the medical domain obtaining structured data can be difficult as the most natural, exp…
A Crowd Monitoring Framework using Emotion Analysis of Social Media for Emergency Management in Mass Gatherings
Minh Quan Ngo, Pari Delir Haghighi, Frada Burstein
In emergency management for mass gathering, the knowledge about crowd types can highly assist with providing timely response and effective resource allocation. Crowd monitoring can…