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09/03/2023
SOAR: Scene-debiasing Open-set Action Recognition
Deep learning models have a risk of utilizing spurious clues to make pre...
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09/03/2023
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
As advanced image manipulation techniques emerge, detecting the manipula...
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08/18/2023
Language-guided Human Motion Synthesis with Atomic Actions
Language-guided human motion synthesis has been a challenging task due t...
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08/03/2023
SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding
We introduce a novel bottom-up approach for the extraction of chart data...
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07/01/2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler
Filter pruning simultaneously accelerates the computation and reduces th...
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05/07/2023
Context-Aware Chart Element Detection
As a prerequisite of chart data extraction, the accurate detection of ch...
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05/03/2023
LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation
Data extraction from line-chart images is an essential component of the ...
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12/10/2022
Progressive Multi-view Human Mesh Recovery with Self-Supervision
To date, little attention has been given to multi-view 3D human mesh est...
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10/16/2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Federated Learning (FL) is a machine learning paradigm where many local ...
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09/21/2022
PREF: Predictability Regularized Neural Motion Fields
Knowing the 3D motions in a dynamic scene is essential to many vision ap...
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09/10/2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Federated Learning (FL) is a machine learning paradigm where local nodes...
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09/10/2022
Self-supervised Human Mesh Recovery with Cross-Representation Alignment
Fully supervised human mesh recovery methods are data-hungry and have po...
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03/17/2022
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation
Research on the generalization ability of deep neural networks (DNNs) ha...
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12/28/2021
Associative Adversarial Learning Based on Selective Attack
A human's attention can intuitively adapt to corrupted areas of an image...
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09/24/2021
Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction
Human-swarm interaction has recently gained attention due to its plethor...
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09/13/2021
Learning Robot Swarm Tactics over Complex Adversarial Environments
To accomplish complex swarm robotic missions in the real world, one need...
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07/22/2021
Semantic Text-to-Face GAN -ST^2FG
Faces generated using generative adversarial networks (GANs) have reache...
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06/21/2021
Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track
This technical report presents our solution to the HACS Temporal Action ...
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06/20/2021
Cogradient Descent for Dependable Learning
Conventional gradient descent methods compute the gradients for multiple...
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06/06/2021
Oriented Object Detection with Transformer
Object detection with Transformers (DETR) has achieved a competitive per...
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05/07/2021
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Model ensembles are becoming one of the most effective approaches for im...
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03/26/2021
Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas
This paper presents a novel multi-robot coverage path planning (CPP) alg...
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02/03/2021
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning
Unmanned Aerial vehicles (UAVs) are widely used as network processors in...
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12/07/2020
Deformable Gabor Feature Networks for Biomedical Image Classification
In recent years, deep learning has dominated progress in the field of me...
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11/24/2020
A Review of Recent Advances of Binary Neural Networks for Edge Computing
Edge computing is promising to become one of the next hottest topics in ...
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09/08/2020
Binarized Neural Architecture Search for Efficient Object Recognition
Traditional neural architecture search (NAS) has a significant impact in...
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08/03/2020
Anti-Bandit Neural Architecture Search for Model Defense
Deep convolutional neural networks (DCNNs) have dominated as the best pe...
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06/23/2020
iffDetector: Inference-aware Feature Filtering for Object Detection
Modern CNN-based object detectors focus on feature configuration during ...
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06/16/2020
Cogradient Descent for Bilinear Optimization
Conventional learning methods simplify the bilinear model by regarding t...
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02/29/2020
NAS-Count: Counting-by-Density with Neural Architecture Search
Most of the recent advances in crowd counting have evolved from hand-des...
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11/25/2019
Binarized Neural Architecture Search
Neural architecture search (NAS) can have a significant impact in comput...
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10/24/2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
The rapidly decreasing computation and memory cost has recently driven t...
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03/22/2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Structured pruning of filters or neurons has received increased focus fo...
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03/03/2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Crowd counting has recently attracted increasing interest in computer vi...
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12/11/2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Compressing convolutional neural networks (CNNs) has received ever-incre...
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11/30/2018
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
The advancement of deep convolutional neural networks (DCNNs) has driven...
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03/21/2017
IOD-CNN: Integrating Object Detection Networks for Event Recognition
Many previous methods have showed the importance of considering semantic...
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01/30/2015
SHOE: Supervised Hashing with Output Embeddings
We present a supervised binary encoding scheme for image retrieval that ...
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10/30/2014