ECCV 2020 papers focusing on point cloud analysis
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Updated
Apr 10, 2021
ECCV 2020 papers focusing on point cloud analysis
Null-sampling for Interpretable and Fair Representations
implementation of the paper: "Towards Analyzing Semantic Robustness of Deep Neural Networks" (ECCV 2020 workshop)
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation, in ECCV 2020
Attention Aggregation Framework in PyTorch, ECCV Workshops 2020
Adversarial Ranking Attack and Defense, ECCV, 2020.
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning (TRO 2021 and ECCV 2020 Oral)
NBA2K Dataset for the ECCV2020 paper : Reconstructing NBA Players
Code for "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation"
Video Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)
This is the project page of our paper which has been published in ECCV 2020.
code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"
ECCV2020 - Official code repository for the paper : Reconstructing NBA Players
PyTorch code for ECCV 2020 paper: "Robust Re-Identification by Multiple Views Knowledge Distillation"
[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
Code base of ParSeNet: ECCV 2020.
[ECCV-20] 3D human scene interaction dataset: https://people.eecs.berkeley.edu/~zhecao/hmp/index.html
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