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08/29/2022
Prompt Tuning with Soft Context Sharing for Vision-Language Models
Vision-language models have recently shown great potential on many compu...
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07/28/2022
Pro-tuning: Unified Prompt Tuning for Vision Tasks
In computer vision, fine-tuning is the de-facto approach to leverage pre...
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08/29/2021
Differentiable Convolution Search for Point Cloud Processing
Exploiting convolutional neural networks for point cloud processing is q...
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06/25/2021
HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
Previous methods for skeleton-based gesture recognition mostly arrange t...
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01/16/2021
Adaptive Remote Sensing Image Attribute Learning for Active Object Detection
In recent years, deep learning methods bring incredible progress to the ...
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12/15/2019
Precipitation Forecasting via Multi-Scale Deconstructed ConvLSTM
Numerical Weather Prediction (NWP), is widely used in precipitation fore...
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12/11/2019
AugFPN: Improving Multi-scale Feature Learning for Object Detection
Current state-of-the-art detectors typically exploit feature pyramid to ...
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10/28/2019
FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization
Chinese character synthesis involves two related aspects, i.e., style ma...
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09/09/2019
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Point cloud processing is very challenging, as the diverse shapes formed...
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05/06/2019
Differentiable Architecture Search with Ensemble Gumbel-Softmax
For network architecture search (NAS), it is crucial but challenging to ...
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05/05/2019
Deep Discriminative Clustering Analysis
Traditional clustering methods often perform clustering with low-level i...
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04/24/2019
LFFD: A Light and Fast Face Detector for Edge Devices
Face detection, as a fundamental technology for various applications, is...
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04/16/2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Point cloud analysis is very challenging, as the shape implied in irregu...
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03/26/2019
DetNAS: Neural Architecture Search on Object Detection
Object detectors are usually equipped with networks designed for image c...
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03/21/2019
Progressive Sparse Local Attention for Video object detection
Transferring image-based object detectors to domain of videos remains a ...
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11/23/2018
Joint Neural Architecture Search and Quantization
Designing neural architectures is a fundamental step in deep learning ap...
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09/16/2018
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
Multi-label image classification is a fundamental but challenging task t...
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07/30/2018
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network
Semantic labeling for very high resolution (VHR) images in urban areas, ...
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12/14/2017
A Performance Evaluation of Local Features for Image Based 3D Reconstruction
This paper performs a comprehensive and comparative evaluation of the st...
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02/14/2016
Do We Need Binary Features for 3D Reconstruction?
Binary features have been incrementally popular in the past few years du...
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09/12/2014
10,000+ Times Accelerated Robust Subset Selection (ARSS)
Subset selection from massive data with noised information is increasing...
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09/02/2014
Effective Spectral Unmixing via Robust Representation and Learning-based Sparsity
Hyperspectral unmixing (HU) plays a fundamental role in a wide range of ...
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03/19/2014
Structured Sparse Method for Hyperspectral Unmixing
Hyperspectral Unmixing (HU) has received increasing attention in the pas...
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05/31/2013