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09/01/2023
ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction
Spatiotemporal prediction aims to generate future sequences by paradigms...
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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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11/20/2022
Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation
Extracting class activation maps (CAM) is a key step for weakly-supervis...
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07/25/2022
On Mitigating Hard Clusters for Face Clustering
Face clustering is a promising way to scale up face recognition systems ...
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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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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
Online Convolutional Re-parameterization
Structural re-parameterization has drawn increasing attention in various...
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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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01/18/2022
Continual Learning for CTR Prediction: A Hybrid Approach
Click-through rate(CTR) prediction is a core task in cost-per-click(CPC)...
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12/31/2021
Deconfounded Visual Grounding
We focus on the confounding bias between language and location in the vi...
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11/25/2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Graph Neural Networks (GNNs) have become increasingly popular and achiev...
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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
Self-Supervised Learning Disentangled Group Representation as Feature
A good visual representation is an inference map from observations (imag...
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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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10/05/2021
Networked Time Series Prediction with Incomplete Data
A networked time series (NETS) is a family of time series on a given gra...
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09/16/2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis
We propose a novel and flexible roof modeling approach that can be used ...
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09/09/2021
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data
Temporal relational data, perhaps the most commonly used data type in in...
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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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07/01/2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
Knowledge Distillation (KD) is a popular technique to transfer knowledge...
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06/10/2021
Deep Position-wise Interaction Network for CTR Prediction
Click-through rate (CTR) prediction plays an important role in online ad...
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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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04/29/2021
Discriminative-Generative Dual Memory Video Anomaly Detection
Recently, people tried to use a few anomalies for video anomaly detectio...
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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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03/24/2021
The Blessings of Unlabeled Background in Untrimmed Videos
Weakly-supervised Temporal Action Localization (WTAL) aims to detect the...
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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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01/18/2021
DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
With the magnitude of graph-structured data continually increasing, grap...
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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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11/19/2020
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation
Binary grid mask representation is broadly used in instance segmentation...
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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
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
As the class size grows, maintaining a balanced dataset across many clas...
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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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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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04/08/2020
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach
Coupled with the rise of Deep Learning, the wealth of data and enhanced ...
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04/03/2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks
Optimization techniques are of great importance to effectively and effic...
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02/27/2020
Visual Commonsense R-CNN
We present a novel unsupervised feature representation learning method, ...
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02/27/2020
Unbiased Scene Graph Generation from Biased Training
Today's scene graph generation (SGG) task is still far from practical, m...
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02/12/2020
Towards Precise Intra-camera Supervised Person Re-identification
Intra-camera supervision (ICS) for person re-identification (Re-ID) assu...
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11/24/2019
Two Causal Principles for Improving Visual Dialog
This paper is a winner report from team MReaL-BDAI for Visual Dialog Cha...
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11/21/2019
Quantization Networks
Although deep neural networks are highly effective, their high computati...
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08/07/2019
Progressive Transfer Learning for Person Re-identification
Model fine-tuning is a widely used transfer learning approach in person ...
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07/12/2019