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09/21/2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
This paper studies the problem of traffic flow forecasting, which aims t...
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08/18/2023
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition
We tackle the data scarcity challenge in few-shot point cloud recognitio...
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07/28/2023
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification
Finding abnormal lymph nodes in radiological images is highly important ...
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07/17/2023
Random Boxes Are Open-world Object Detectors
We show that classifiers trained with random region proposals achieve st...
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06/08/2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Although graph neural networks (GNNs) have achieved impressive achieveme...
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05/19/2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
In this paper, we investigate the challenge of spatio-temporal video pre...
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05/06/2023
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Existing knowledge distillation works for semantic segmentation mainly f...
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01/19/2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network
Few-shot semantic segmentation is the task of learning to locate each pi...
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08/06/2022
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization
Out-Of-Distribution generalization (OOD) is all about learning invarianc...
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07/27/2022
Identifying Hard Noise in Long-Tailed Sample Distribution
Conventional de-noising methods rely on the assumption that all samples ...
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07/27/2022
Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition
Transformer-based methods have recently achieved great advancement on 2D...
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07/19/2022
Rethinking IoU-based Optimization for Single-stage 3D Object Detection
Since Intersection-over-Union (IoU) based optimization maintains the con...
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07/06/2022
Towards Counterfactual Image Manipulation via CLIP
Leveraging StyleGAN's expressivity and its disentangled latent codes, ex...
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06/29/2022
On Non-Random Missing Labels in Semi-Supervised Learning
Semi-Supervised Learning (SSL) is fundamentally a missing label problem,...
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04/15/2022
Dense Learning based Semi-Supervised Object Detection
Semi-supervised object detection (SSOD) aims to facilitate the training ...
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04/14/2022
Spatial Likelihood Voting with Self-Knowledge Distillation for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD), which is an effective way to ...
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04/02/2022
Homography Loss for Monocular 3D Object Detection
Monocular 3D object detection is an essential task in autonomous driving...
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04/01/2022
Dynamic Supervisor for Cross-dataset Object Detection
The application of cross-dataset training in object detection tasks is c...
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03/14/2022
Disentangled Representation Learning for Text-Video Retrieval
Cross-modality interaction is a critical component in Text-Video Retriev...
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03/02/2022
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Extracting class activation maps (CAM) is arguably the most standard ste...
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12/29/2021
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification
We address the overlooked unbiasedness in existing long-tailed classific...
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11/19/2021
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification
Unsupervised Person Re-identification (U-ReID) with pseudo labeling rece...
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10/28/2021
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae
Spinal degeneration plagues many elders, office workers, and even the yo...
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10/26/2021
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
Bounding box (bbox) regression is a fundamental task in computer vision....
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10/11/2021
Density-Based Clustering with Kernel Diffusion
Finding a suitable density function is essential for density-based clust...
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08/23/2021
Improving 3D Object Detection with Channel-wise Transformer
Though 3D object detection from point clouds has achieved rapid progress...
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07/28/2021
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth
Current geometry-based monocular 3D object detection models can efficien...
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07/23/2021
Transporting Causal Mechanisms for Unsupervised Domain Adaptation
Existing Unsupervised Domain Adaptation (UDA) literature adopts the cova...
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07/01/2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
Knowledge Distillation (KD) is a popular technique to transfer knowledge...
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05/25/2021
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
With the increasing scale and diversification of interaction behaviors i...
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04/03/2021
Graph Contrastive Clustering
Recently, some contrastive learning methods have been proposed to simult...
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04/02/2021
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
Despite their success for semantic segmentation, convolutional neural ne...
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03/29/2021
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
Cloth-Changing person re-identification (CC-ReID) aims at matching the s...
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03/16/2021
Dense Interaction Learning for Video-based Person Re-identification
Video-based person re-identification (re-ID) aims at matching the same p...
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03/02/2021
Distilling Causal Effect of Data in Class-Incremental Learning
We propose a causal framework to explain the catastrophic forgetting in ...
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03/01/2021
Counterfactual Zero-Shot and Open-Set Visual Recognition
We present a novel counterfactual framework for both Zero-Shot Learning ...
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12/19/2020
Camera-aware Proxies for Unsupervised Person Re-Identification
This paper tackles the purely unsupervised person re-identification (Re-...
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12/08/2020
Learning to Generate Content-Aware Dynamic Detectors
Model efficiency is crucial for object detection. Mostprevious works rel...
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11/26/2020
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
Skeleton-based human action recognition has attracted much attention wit...
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10/18/2020
FGAGT: Flow-Guided Adaptive Graph Tracking
Multi-object tracking (MOT) has always been a very important research di...
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10/15/2020
CIMON: Towards High-quality Hash Codes
Recently, hashing is widely-used in approximate nearest neighbor search ...
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09/28/2020
Interventional Few-Shot Learning
We uncover an ever-overlooked deficiency in the prevailing Few-Shot Lear...
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09/02/2020
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation
Today, scene graph generation(SGG) task is largely limited in realistic ...
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08/14/2020
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification
With the rise of deep learning methods, person Re-Identification (ReID) ...
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08/07/2020
Deep Robust Clustering by Contrastive Learning
Recently, many unsupervised deep learning methods have been proposed to ...
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08/06/2020
Salvage Reusable Samples from Noisy Data for Robust Learning
Due to the existence of label noise in web images and the high memorizat...
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07/30/2020
Stable Learning via Causality-based Feature Rectification
How to learn a stable model under agnostic distribution shift between tr...
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07/13/2020
Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles
Due to the advanced capabilities of the Internet of Vehicles (IoV) compo...
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06/23/2020
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection
Based on the framework of multiple instance learning (MIL), tremendous w...
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05/02/2020
