1 citations · 1 across the 5 of their papers we have counts for
5 papers
Joint Learning of Depth, Pose, and Local Radiance Field for Large Scale Monocular 3D Reconstruction
Shahram Najam Syed, Yitian Hu, Yuchao Yao
Photorealistic 3-D reconstruction from monocular video collapses in large-scale scenes when depth, pose, and radiance are solved in isolation: scale-ambiguous depth yields ghost ge…
HapticMatch: An Exploration for Generative Material Haptic Simulation and Interaction
Mingxin Zhang, Yu Yao, Yasutoshi Makino +2
High-fidelity haptic feedback is essential for immersive virtual environments, yet authoring realistic tactile textures remains a significant bottleneck for designers. We introduce…
DINO-Detect: A Simple yet Effective Framework for Blur-Robust AI-Generated Image Detection
Jialiang Shen, Jiyang Zheng, Yunqi Xue +8
With growing concerns over image authenticity and digital safety, the field of AI-generated image (AIGI) detection has progressed rapidly. Yet, most AIGI detectors still struggle u…
Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching
Yexiong Lin, Yu Yao, Tongliang Liu
Flow Matching (FM) is an effective framework for training a model to learn a vector field that transports samples from a source distribution to a target distribution. To train the…
Flow: Modularized Agentic Workflow Automation
Boye Niu, Yiliao Song, Kai Lian +4
Multi-agent frameworks powered by large language models (LLMs) have demonstrated great success in automated planning and task execution. However, the effective adjustment of agenti…