b'Jian Cheng'

research

∙ 09/20/2023

Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World

Spiking neuron networks (SNNs) have been thriving on numerous tasks to l...

0 Xingting Yao, et al. ∙

research

∙ 09/11/2023

Temporal Action Localization with Enhanced Instant Discriminability

Temporal action detection (TAD) aims to detect all action boundaries and...

0 Dingfeng Shi, et al. ∙

research

∙ 07/21/2023

Enhancing Your Trained DETRs with Box Refinement

We present a conceptually simple, efficient, and general framework for l...

0 Yiqun Chen, et al. ∙

research

∙ 04/26/2023

FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation

Medical image segmentation methods normally perform poorly when there is...

5 Yan Wang, et al. ∙

research

∙ 04/11/2023

HPN: Personalized Federated Hyperparameter Optimization

Numerous research studies in the field of federated learning (FL) have a...

0 Anda Cheng, et al. ∙

research

∙ 02/01/2023

A^2Q: Aggregation-Aware Quantization for Graph Neural Networks

As graph data size increases, the vast latency and memory consumption du...

0 Zeyu Zhu, et al. ∙

research

∙ 11/25/2022

DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection

Fully convolutional detectors discard the one-to-many assignment and ado...

0 Yiqun Chen, et al. ∙

research

∙ 10/25/2022

GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Spiking Neural Networks (SNNs) have been studied over decades to incorpo...

0 Xingting Yao, et al. ∙

research

∙ 10/17/2022

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results

This paper introduces the methods and the results of AIM 2022 challenge ...

6 Furkan Kınlı, et al. ∙

research

∙ 08/23/2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

This paper reviews the Challenge on Super-Resolution of Compressed Image...

0 Ren Yang, et al. ∙

research

∙ 08/03/2022

PalQuant: Accelerating High-precision Networks on Low-precision Accelerators

Recently low-precision deep learning accelerators (DLAs) have become pop...

0 Qinghao Hu, et al. ∙

research

∙ 07/05/2022

PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient

Knowledge distillation(KD) is a widely-used technique to train compact m...

6 Weihan Cao, et al. ∙

research

∙ 06/24/2022

Learning the policy for mixed electric platoon control of automated and human-driven vehicles at signalized intersection: a random search approach

The upgrading and updating of vehicles have accelerated in the past deca...

0 Xia Jiang, et al. ∙

research

∙ 06/13/2022

Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning

Freezing the pre-trained backbone has become a standard paradigm to avoi...

10 Yanpeng Sun, et al. ∙

research

∙ 04/06/2022

MixFormer: Mixing Features across Windows and Dimensions

While local-window self-attention performs notably in vision tasks, it s...

9 Qiang Chen, et al. ∙

research

∙ 04/04/2022

Soft Threshold Ternary Networks

Large neural networks are difficult to deploy on mobile devices because ...

0 Weixiang Xu, et al. ∙

research

∙ 03/07/2022

Differentially Private Federated Learning with Local Regularization and Sparsification

User-level differential privacy (DP) provides certifiable privacy guaran...

1 Anda Cheng, et al. ∙

research

∙ 01/25/2022

Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond

Super-resolution as an ill-posed problem has many high-resolution candid...

0 Xiangyu He, et al. ∙

research

∙ 01/19/2022

Q-ViT: Fully Differentiable Quantization for Vision Transformer

In this paper, we propose a fully differentiable quantization method for...

0 Zhexin Li, et al. ∙

research

∙ 12/28/2021

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

Federated learning frameworks typically require collaborators to share t...

7 Jiahao Lu, et al. ∙

research

∙ 10/16/2021

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy

Training deep neural networks (DNNs) for meaningful differential privacy...

7 Anda Cheng, et al. ∙

research

∙ 10/15/2021

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices

For practical deep neural network design on mobile devices, it is essent...

14 Tianli Zhao, et al. ∙

research

∙ 10/13/2021

Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization

Quantization is a widely used technique to compress and accelerate deep ...

0 Weihan Chen, et al. ∙

research

∙ 10/12/2021

Improving Binary Neural Networks through Fully Utilizing Latent Weights

Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W...

8 Weixiang Xu, et al. ∙

research

∙ 09/01/2021

Architecture Aware Latency Constrained Sparse Neural Networks

Acceleration of deep neural networks to meet a specific latency constrai...

0 Tianli Zhao, et al. ∙

research

∙ 07/07/2021

IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition

Existing classification-based face recognition methods have achieved rem...

0 Chengzhi Jiang, et al. ∙

research

∙ 06/06/2021

Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss

Chronological age of healthy people is able to be predicted accurately u...

12 Jian Cheng, et al. ∙

research

∙ 05/19/2021

Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA

Deep convolutional neural networks have achieved remarkable progress in ...

0 Gang Li, et al. ∙

research

∙ 04/07/2021

HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap

Recently, heatmap regression models have become the mainstream in locati...

0 Xing Lan, et al. ∙

research

∙ 03/22/2021

AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition

Existing methods for skeleton-based action recognition mainly focus on i...

0 Lei Shi, et al. ∙

research

∙ 03/17/2021

You Only Look One-level Feature

This paper revisits feature pyramids networks (FPN) for one-stage detect...

17 Qiang Chen, et al. ∙

research

∙ 03/04/2021

Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing

BERT is the most recent Transformer-based model that achieves state-of-t...

0 Zejian Liu, et al. ∙

research

∙ 01/21/2021

Generative Zero-shot Network Quantization

Convolutional neural networks are able to learn realistic image priors f...

0 Xiangyu He, et al. ∙

research

∙ 12/21/2020

Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification

Time series classification problems exist in many fields and have been e...

0 Zhenyu Liu, et al. ∙

research

∙ 11/10/2020

AIM 2020 Challenge on Rendering Realistic Bokeh

This paper reviews the second AIM realistic bokeh effect rendering chall...

6 Andrey Ignatov, et al. ∙

research

∙ 11/04/2020

BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh

A photo captured with bokeh effect often means objects in focus are shar...

0 Ming Qian, et al. ∙

research

∙ 10/02/2020

Taking Modality-free Human Identification as Zero-shot Learning

Human identification is an important topic in event detection, person tr...

0 Zhizhe Liu, et al. ∙

research

∙ 09/27/2020

AIM 2020: Scene Relighting and Illumination Estimation Challenge

We review the AIM 2020 challenge on virtual image relighting and illumin...

0 Majed El Helou, et al. ∙

research

∙ 09/15/2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

This paper reviews the AIM 2020 challenge on efficient single image supe...

6 Kai Zhang, et al. ∙

research

∙ 08/16/2020

Faster Person Re-Identification

Fast person re-identification (ReID) aims to search person images quickl...

0 Guan'an Wang, et al. ∙

research

∙ 07/07/2020

Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition

Dynamic skeletal data, represented as the 2D/3D coordinates of human joi...

12 Lei Shi, et al. ∙

research

∙ 04/07/2020

SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition

In this paper, a new perspective is presented for skeleton-based action ...

0 Lei Shi, et al. ∙

research

∙ 03/07/2020

TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation

Video action anticipation aims to predict future action categories from ...

0 Wen Wang, et al. ∙

research

∙ 02/10/2020

Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification

RGB-Infrared (IR) person re-identification is very challenging due to th...

0 Guan'an Wang, et al. ∙

research

∙ 02/10/2020

From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition

In zero-shot learning (ZSL), the samples to be classified are usually pr...

0 Fuzhen Li, et al. ∙

research

∙ 01/21/2020

A Comprehensive Study on Temporal Modeling for Online Action Detection

Online action detection (OAD) is a practical yet challenging task, which...

0 Wen Wang, et al. ∙

research

∙ 12/15/2019

Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks

Graph convolutional networks (GCNs), which generalize CNNs to more gener...

10 Lei Shi, et al. ∙

research

∙ 12/04/2019

Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Graph representation learning aims to encode all nodes of a graph into l...

0 Shuai Zheng, et al. ∙

research

∙ 11/28/2019

A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification

In this work, a discriminatively learned CNN embedding is proposed for r...

0 Wen Wang, et al. ∙

research

∙ 11/28/2019

A Discriminative Learned CNN Embedding For Remote Senseing Image Scene Classification

In this work, a discriminatively learned CNN embedding is proposed for r...

0 Wen Wang, et al. ∙

Jian Cheng

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