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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...
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09/11/2023
Temporal Action Localization with Enhanced Instant Discriminability
Temporal action detection (TAD) aims to detect all action boundaries and...
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07/21/2023
Enhancing Your Trained DETRs with Box Refinement
We present a conceptually simple, efficient, and general framework for l...
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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...
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04/11/2023
HPN: Personalized Federated Hyperparameter Optimization
Numerous research studies in the field of federated learning (FL) have a...
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02/01/2023
A^2Q: Aggregation-Aware Quantization for Graph Neural Networks
As graph data size increases, the vast latency and memory consumption du...
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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...
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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...
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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 ...
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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...
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08/03/2022
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators
Recently low-precision deep learning accelerators (DLAs) have become pop...
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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...
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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...
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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...
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04/06/2022
MixFormer: Mixing Features across Windows and Dimensions
While local-window self-attention performs notably in vision tasks, it s...
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04/04/2022
Soft Threshold Ternary Networks
Large neural networks are difficult to deploy on mobile devices because ...
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03/07/2022
Differentially Private Federated Learning with Local Regularization and Sparsification
User-level differential privacy (DP) provides certifiable privacy guaran...
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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...
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01/19/2022
Q-ViT: Fully Differentiable Quantization for Vision Transformer
In this paper, we propose a fully differentiable quantization method for...
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12/28/2021
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers
Federated learning frameworks typically require collaborators to share t...
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10/16/2021
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy
Training deep neural networks (DNNs) for meaningful differential privacy...
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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...
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10/13/2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization
Quantization is a widely used technique to compress and accelerate deep ...
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10/12/2021
Improving Binary Neural Networks through Fully Utilizing Latent Weights
Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W...
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09/01/2021
Architecture Aware Latency Constrained Sparse Neural Networks
Acceleration of deep neural networks to meet a specific latency constrai...
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07/07/2021
IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition
Existing classification-based face recognition methods have achieved rem...
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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...
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05/19/2021
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
Deep convolutional neural networks have achieved remarkable progress in ...
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04/07/2021
HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap
Recently, heatmap regression models have become the mainstream in locati...
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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...
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03/17/2021
You Only Look One-level Feature
This paper revisits feature pyramids networks (FPN) for one-stage detect...
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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...
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01/21/2021
Generative Zero-shot Network Quantization
Convolutional neural networks are able to learn realistic image priors f...
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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...
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11/10/2020
AIM 2020 Challenge on Rendering Realistic Bokeh
This paper reviews the second AIM realistic bokeh effect rendering chall...
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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...
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10/02/2020
Taking Modality-free Human Identification as Zero-shot Learning
Human identification is an important topic in event detection, person tr...
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09/27/2020
AIM 2020: Scene Relighting and Illumination Estimation Challenge
We review the AIM 2020 challenge on virtual image relighting and illumin...
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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...
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08/16/2020
Faster Person Re-Identification
Fast person re-identification (ReID) aims to search person images quickl...
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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...
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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 ...
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03/07/2020
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation
Video action anticipation aims to predict future action categories from ...
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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...
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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...
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01/21/2020
A Comprehensive Study on Temporal Modeling for Online Action Detection
Online action detection (OAD) is a practical yet challenging task, which...
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12/15/2019
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
Graph convolutional networks (GCNs), which generalize CNNs to more gener...
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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...
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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...
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11/28/2019
