kaanakan

kaanakan's Stars

• sming256/OpenTAD

  OpenTAD is an open-source temporal action detection (TAD) toolbox based on PyTorch.

  Language:Python13810

• MCG-NJU/EMA-VFI

  [CVPR 2023] Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolatio

  Language:Python34841

• hanielwang/Refining_Boundary_Head

  Language:Python4

• zhangyp15/BEVerse

  The official repository for BEVerse

  Language:Python38451

• kaanakan/stretchbev

  Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"

  Language:Python422

• megvii-research/MOTR

  [ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer

  Language:Python59594

• gorkaydemir/FTGN

  Official implementation of the paper "Trajectory Forecasting on Temporal Graphs"

  Language:Python233

• mkocabas/SPEC

  Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

  Language:Python22831

• nv-tlabs/lift-splat-shoot

  Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

  Language:Python989208

• jbhuang0604/awesome-tips

  3.4k188

• kemaloksuz/RankSortLoss

  Official PyTorch Implementation of Rank & Sort Loss for Object Detection and Instance Segmentation [ICCV2021]

  Language:Python23825

• ilkarman/DeepLearningFrameworks

  Demo of running NNs across different frameworks

  Language:Jupyter Notebook1.7k359

• r3tex/ObjectDetector.jl

  Pure Julia implementations of single-pass object detection neural networks.

  Language:Julia9014

• andrewekhalel/sewar

  All image quality metrics you need in one package.

  Language:Python58672

• sudharsan13296/Awesome-Meta-Learning

  A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

  1.5k299

• Po-Hsun-Su/pytorch-ssim

  pytorch structural similarity (SSIM) loss

  Language:Python1.9k364

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.1k2.6k

• TengdaHan/MemDPC

  [ECCV'20 Spotlight] Memory-augmented Dense Predictive Coding for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

  Language:Python16421

• eth-ait/cose

  Language:JavaScript307

• alexlee-gk/video_prediction

  Stochastic Adversarial Video Prediction

  Language:Python30365

• edenton/svg

  Language:Python18656

• facebookresearch/improved_vrnn

  Code for Improved Condtional VRNNs for Video Prediction

  Language:Python379

• edouardelasalles/srvp

  Official implementation of the paper Stochastic Latent Residual Video Prediction

  Language:Python7715

• kam1107/RealnessGAN

  Code for ICLR2020 paper 'Real or Not Real, that is the Question'

  Language:Python28639

• ankitkv/TD-VAE

  TD-VAE in PyTorch

  Language:Python10

• xqding/TD-VAE

  Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)

  Language:Python15227

• gulvarol/bsl1k

  BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues, ECCV 2020

  Language:Python7610

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.1k821

• giddyyupp/style-content-cnn

  style and content CNNs used in GANILLA

  Language:Python51

• facebookresearch/fair_self_supervision_benchmark

  Scaling and Benchmarking Self-Supervised Visual Representation Learning

  Language:Python58763