This project contributes to an open source ROS-based framework for swarm robotics. We propose an low cost, high availability swarm system that could be printed and assembled multiple times without …
Repo of the paper "A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos" at the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
Original PyTorch implementation of the code for the paper "Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data" at the IEEE/CVF Conference on Computer Vision…
C++ implementation of the nonrigid descriptor Geobit presented at ICCV 2019 "GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images"
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos @ IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
This project contributes to an open source ROS-based framework for swarm robotics. We propose an low cost, high availability swarm system that could be printed and assembled multiple times without special knowledge or hardware skills.
Exact ILP formulations (Gurobi) and Variable Neighborhood Search (VNS) metaheuristics for the Team Clustered Orienteering Problem with Subgroups (TCOPS) in Rust.
Official implementation of RAIDAL (BMVC 2026) - RAIDAL is an Active Learning strategy that repurposes CTC alignment peaks to highlight which frames should contribute to active sample selection.
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