7 citations · 8 across the 6 of their papers we have counts for
8 papers · 1 filter
Learning Normal Flow Directly From Event Neighborhoods
Dehao Yuan, Levi Burner, Jiayi Wu +4
Event-based motion field estimation is an important task. However, current optical flow methods face challenges: learning-based approaches, often frame-based and relying on CNNs, l…
Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation
Jingxi Chen, Brandon Y. Feng, Haoming Cai +6
Video Frame Interpolation aims to recover realistic missing frames between observed frames, generating a high-frame-rate video from a low-frame-rate video. However, without additio…
FeelAnyForce: Estimating Contact Force Feedback from Tactile Sensation for Vision-Based Tactile Sensors
Amir-Hossein Shahidzadeh, Gabriele Caddeo, Koushik Alapati +3
In this paper, we tackle the problem of estimating 3D contact forces using vision-based tactile sensors. In particular, our goal is to estimate contact forces over a large range (u…
Extremum Seeking Controlled Wiggling for Tactile Insertion
Levi Burner, Pavan Mantripragada, Gabriele M. Caddeo +3
When humans perform complex insertion tasks such as pushing a cup into a cupboard, routing a cable, or putting a key in a lock, they wiggle the object and adapt the process through…
Air-FAR: Fast and Adaptable Routing for Aerial Navigation in Large-scale Complex Unknown Environments
Botao He, Guofei Chen, Cornelia Fermuller +2
This paper presents a novel method for real-time 3D navigation in large-scale, complex environments using a hierarchical 3D visibility graph (V-graph). The proposed algorithm addre…
ViewActive: Active viewpoint optimization from a single image
Jiayi Wu, Xiaomin Lin, Botao He +2
When observing objects, humans benefit from their spatial visualization and mental rotation ability to envision potential optimal viewpoints based on the current observation. This…