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02/23/2022
Visual-tactile sensing for Real-time liquid Volume Estimation in Grasping
We propose a deep visuo-tactile model for realtime estimation of the liq...
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06/22/2021
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation
Analyzing the structure of proteins is a key part of understanding their...
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06/22/2021
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment
Non-linear (large) time warping is a challenging source of nuisance in t...
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05/02/2021
A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle
Autonomous driving has been quite promising in recent years. The public ...
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04/30/2021
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
Video-based person re-identification (re-ID) is an important research to...
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04/29/2021
Learning Multi-Attention Context Graph for Group-Based Re-Identification
Learning to re-identify or retrieve a group of people across non-overlap...
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03/22/2021
Anchor-Free Person Search
Person search aims to simultaneously localize and identify a query perso...
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03/01/2021
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Accurately describing and detecting 2D and 3D keypoints is crucial to es...
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09/28/2020
Group Whitening: Balancing Learning Efficiency and Representational Capacity
Batch normalization (BN) is an important technique commonly incorporated...
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09/27/2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Normalization techniques are essential for accelerating the training and...
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06/20/2020
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
This work introduces pyramidal convolution (PyConv), which is capable of...
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04/10/2020
Improved Residual Networks for Image and Video Recognition
Residual networks (ResNets) represent a powerful type of convolutional n...
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04/02/2020
Controllable Orthogonalization in Training DNNs
Orthogonality is widely used for training deep neural networks (DNNs) du...
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03/27/2020
An Investigation into the Stochasticity of Batch Whitening
Batch Normalization (BN) is extensively employed in various network arch...
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02/27/2020
Auto-Encoding Twin-Bottleneck Hashing
Conventional unsupervised hashing methods usually take advantage of simi...
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02/25/2020
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis
Conditioning analysis uncovers the landscape of optimization objective b...
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12/10/2019
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images
Diabetic retinopathy (DR) is a complication of diabetes that severely af...
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09/16/2019
Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent
Binary optimization, a representative subclass of discrete optimization,...
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08/26/2019
Embarrassingly Simple Binary Representation Learning
Recent binary representation learning models usually require sophisticat...
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08/19/2019
RANet: Ranking Attention Network for Fast Video Object Segmentation
Despite online learning (OL) techniques have boosted the performance of ...
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06/17/2019
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image
In the past few years, supervised networks have achieved promising perfo...
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06/17/2019
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising
Non-local self similarity (NSS) is a powerful prior of natural images fo...
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06/16/2019
STAR: A Structure and Texture Aware Retinex Model
Retinex theory is developed mainly to decompose an image into the illumi...
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06/05/2019
Towards Document Image Quality Assessment: A Text Line Based Framework and A Synthetic Text Line Image Dataset
Since the low quality of document images will greatly undermine the chan...
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05/30/2019
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Existing Earth Vision datasets are either suitable for semantic segmenta...
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05/27/2019
Dynamically Visual Disambiguation of Keyword-based Image Search
Due to the high cost of manual annotation, learning directly from the we...
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04/06/2019
Iterative Normalization: Beyond Standardization towards Efficient Whitening
Batch Normalization (BN) is ubiquitously employed for accelerating neura...
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09/17/2018
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering
How to economically cluster large-scale multi-view images is a long-stan...
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08/30/2018
Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating Algorithm
For any autonomous driving vehicle, control module determines its road p...
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07/20/2018
Baidu Apollo EM Motion Planner
In this manuscript, we introduce a real-time motion planning system base...
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07/11/2018