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06/28/2023
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
Representation learning has been evolving from traditional supervised tr...
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03/05/2023
Learned Lossless Compression for JPEG via Frequency-Domain Prediction
JPEG images can be further compressed to enhance the storage and transmi...
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02/15/2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
There has been a recent surge of interest in introducing transformers to...
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06/06/2022
Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning
Gradient coding schemes effectively mitigate full stragglers in distribu...
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05/31/2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling
Pooling and unpooling are two essential operations in constructing hiera...
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04/27/2022
LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning
Graph pooling has been increasingly considered for graph neural networks...
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04/25/2022
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks
It is promising to solve linear inverse problems by unfolding iterative ...
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11/23/2021
Hierarchical Graph Networks for 3D Human Pose Estimation
Recent 2D-to-3D human pose estimation works tend to utilize the graph st...
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09/18/2021
Optimization-based Block Coordinate Gradient Coding
Existing gradient coding schemes introduce identical redundancy across t...
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08/03/2021
Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets
Spectral graph convolutional networks (SGCNs) have been attracting incre...
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06/18/2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks
Graph convolution networks, like message passing graph convolution netwo...
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06/08/2021
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Collecting annotated data for semantic segmentation is time-consuming an...
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12/07/2020
NCGNN: Node-level Capsule Graph Neural Network
Message passing has evolved as an effective tool for designing Graph Neu...
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10/19/2020
MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization
Substantial experiments have validated the success of Batch Normalizatio...
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08/17/2020
AP-Loss for Accurate One-Stage Object Detection
One-stage object detectors are trained by optimizing classification-loss...
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06/20/2019
Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming
In this paper, we study the server-side rate adaptation problem for stre...
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05/17/2019
Group Re-Identification with Multi-grained Matching and Integration
The task of re-identifying groups of people underdifferent camera views ...
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05/05/2019
Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size
Existing decentralized coded caching solutions cannot guarantee small lo...
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04/12/2019
Towards Accurate One-Stage Object Detection with AP-Loss
One-stage object detectors are trained by optimizing classification-loss...
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02/02/2019