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07/11/2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Federated learning has become a popular method to learn from decentraliz...
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04/18/2023
Variational Relational Point Completion Network for Robust 3D Classification
Real-scanned point clouds are often incomplete due to viewpoint, occlusi...
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08/15/2022
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection
Image-based 3D detection is an indispensable component of the perception...
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07/05/2022
StyleFlow For Content-Fixed Image to Image Translation
Image-to-image (I2I) translation is a challenging topic in computer visi...
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06/21/2022
Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning
Video highlight detection is a crucial yet challenging problem that aims...
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06/13/2022
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
Knowledge distillation (KD) has shown very promising capabilities in tra...
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04/09/2022
Federated Unsupervised Domain Adaptation for Face Recognition
Given labeled data in a source domain, unsupervised domain adaptation ha...
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01/11/2022
Pyramid Fusion Transformer for Semantic Segmentation
The recently proposed MaskFormer <cit.> gives a refreshed perspective on...
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09/06/2021
Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
3D human shape and pose estimation is the essential task for human motio...
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08/28/2021
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
Group activity recognition is a crucial yet challenging problem, whose c...
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08/14/2021
Collaborative Unsupervised Visual Representation Learning from Decentralized Data
Unsupervised representation learning has achieved outstanding performanc...
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07/29/2021
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection
As a crucial task of autonomous driving, 3D object detection has made gr...
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07/23/2021
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Deep learning-based 3D object detection has achieved unprecedented succe...
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06/16/2021
Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification
Deep learning-based multi-source unsupervised domain adaptation (MUDA) h...
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05/17/2021
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning
Unsupervised domain adaptation has been widely adopted to generalize mod...
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04/27/2021
Unsupervised 3D Shape Completion through GAN Inversion
Most 3D shape completion approaches rely heavily on partial-complete sha...
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04/20/2021
Variational Relational Point Completion Network
Real-scanned point clouds are often incomplete due to viewpoint, occlusi...
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03/30/2021
Delving into Localization Errors for Monocular 3D Object Detection
Estimating 3D bounding boxes from monocular images is an essential compo...
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01/06/2021
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
Person Re-Identification (Re-ID) is of great importance to the many vide...
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08/26/2020
Performance Optimization for Federated Person Re-identification via Benchmark Analysis
Federated learning is a privacy-preserving machine learning technique th...
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08/14/2020
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
Few-shot segmentation focuses on the generalization of models to segment...
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07/29/2020
MessyTable: Instance Association in Multiple Camera Views
We present an interesting and challenging dataset that features a large ...
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07/21/2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Deep classifiers have achieved great success in visual recognition. Howe...
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05/18/2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Understanding crowd motion dynamics is critical to real-world applicatio...
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04/25/2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
In this paper, we propose a general and efficient pre-training paradigm,...
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02/25/2020
MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification
Although person re-identification (ReID) has achieved significant improv...
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02/04/2020
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition
Connectionist Temporal Classification (CTC) and attention mechanism are ...
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01/05/2020
EcoNAS: Finding Proxies for Economical Neural Architecture Search
Neural Architecture Search (NAS) achieves significant progress in many c...
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01/11/2019
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
The basic principles in designing convolutional neural network (CNN) str...
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12/04/2018
Factorized Attention: Self-Attention with Linear Complexities
Recent works have been applying self-attention to various fields in comp...
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10/06/2018
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Person re-identification (reID) is an important task that requires to re...
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08/27/2018
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion
Dense depth cues are important and have wide applications in various com...
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08/20/2018
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Monocular depth estimation aims at estimating a pixelwise depth map for ...
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07/30/2018
End-to-End Deep Kronecker-Product Matching for Person Re-identification
Person re-identification aims to robustly measure similarities between p...
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07/30/2018
Deep Group-shuffling Random Walk for Person Re-identification
Person re-identification aims at finding a person of interest in an imag...
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07/26/2018
Person Re-identification with Deep Similarity-Guided Graph Neural Network
The person re-identification task requires to robustly estimate visual s...
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09/28/2017
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
Pedestrian analysis plays a vital role in intelligent video surveillance...
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08/13/2017
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals
Vehicle re-identification is an important problem and has many applicati...
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07/11/2017
