washingtonsk8
Ph.D. Candidate @ Universidade Federal de Minas Gerais | Microsoft Research PhD Fellow | Computer Vision, Vision and Language, and Reinforcement Learning
Universidade Federal de Minas Gerais (UFMG)Belo Horizonte, Brazil
washingtonsk8's Stars
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
AlexChesser/recruiter-autoresponse
Based on the Medium Article entitled - "Career Advice Nobody Gave Me: Never ignore a recruiter" this repo has a copyable script which you can use to auto-respond to recruiters.
m-bain/frozen-in-time
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval [ICCV'21]
verlab/Learning2Dance_CAG_2020
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
medhini/clip_it
CLIP-It! Language-Guided Video Summarization
Yuhan-Shen/VisualNarrationProceL-CVPR21
verlab/SemanticFastForward_CVPR_2018
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
verlab/StraightToThePoint_CVPR_2020
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 and Pattern Recognition (CVPR) 2020
hazeld/MSR-VTT_Dataloader
johnjlee/opticalflow
Implementation of video-based optical flow and FOE (focus of expansion) detection
verlab/TextDrivenVideoAcceleration_TPAMI_2022
Original PyTorch implementation of the code for the paper "Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method" at the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022
joaofbsm/rhd-classification
Towards automatic diagnosis of rheumatic heart disease on echocardiographic exams through video-based deep learning
verlab/SemanticFastForward_TPAMI_2020
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