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08/22/2023
Octopus: A Heterogeneous In-network Computing Accelerator Enabling Deep Learning for network
Deep learning (DL) for network models have achieved excellent performanc...
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08/03/2023
Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark
Recently, many breakthroughs are made in the field of Video Object Detec...
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05/25/2023
Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric
Existing vehicle re-identification methods mainly rely on the single que...
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05/25/2023
Dynamic Enhancement Network for Partial Multi-modality Person Re-identification
Many existing multi-modality studies are based on the assumption of moda...
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05/23/2023
Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identification
Multi-spectral vehicle re-identification aims to address the challenge o...
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03/26/2023
RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning
Existing Transformer-based RGBT tracking methods either use cross-attent...
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10/11/2022
Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification
Occluded person re-identification (Re-ID), the task of searching for the...
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09/25/2022
Hand Hygiene Assessment via Joint Step Segmentation and Key Action Scorer
Hand hygiene is a standard six-step hand-washing action proposed by the ...
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08/01/2022
Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality Benchmark
To tackle the challenge of vehicle re-identification (Re-ID) in complex ...
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06/02/2022
Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset
License plate recognition plays a critical role in many practical applic...
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02/11/2022
Tiny Object Tracking: A Large-scale Dataset and A Baseline
Tiny objects, frequently appearing in practical applications, have weak ...
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11/08/2021
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark
In many visual systems, visual tracking often bases on RGB image sequenc...
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04/27/2021
LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking
RGBT tracking receives a surge of interest in the computer vision commun...
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12/08/2020
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
Crowd counting is a fundamental yet challenging problem, which desires r...
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11/26/2020
Text Analytics for Resilience-Enabled Extreme EventsReconnaissance
Post-hazard reconnaissance for natural disasters (e.g., earthquakes) is ...
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11/18/2020
Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification
Vehicle re-identification (Re-ID) is an active task due to its importanc...
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11/14/2020
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
RGBT tracking has attracted increasing attention since RGB and thermal i...
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11/14/2020
Duality-Gated Mutual Condition Network for RGBT Tracking
Low-quality modalities contain not only a lot of noisy information but a...
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08/03/2020
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
In this paper, we present a Large-Scale and high-diversity general Therm...
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07/26/2020
Challenge-Aware RGBT Tracking
RGB and thermal source data suffer from both shared and specific challen...
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07/07/2020
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
Salient object detection in complex scenes and environments is a challen...
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05/05/2020
Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection
RGBT salient object detection (SOD) aims to segment the common prominent...
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03/17/2020
M^5L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking
Classifying the confusing samples in the course of RGBT tracking is a qu...
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12/01/2019
DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
The cornerstone of computational drug design is the calculation of bindi...
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08/12/2019
Learning Target-oriented Dual Attention for Robust RGB-T Tracking
RGB-Thermal object tracking attempt to locate target object using comple...
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08/07/2019
Edge-guided Non-local Fully Convolutional Network for Salient Object Detection
Fully Convolutional Neural Network (FCN) has been widely applied to sali...
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08/05/2019
Learning Compact Target-Oriented Feature Representations for Visual Tracking
Many state-of-the-art trackers usually resort to the pretrained convolut...
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07/24/2019
Dense Feature Aggregation and Pruning for RGBT Tracking
How to perform effective information fusion of different modalities is a...
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07/24/2019
Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation
Despite much research progress in image semantic segmentation, it remain...
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07/17/2019
Multi-Adapter RGBT Tracking
The task of RGBT tracking aims to take the complementary advantages from...
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05/22/2019
Attributes Guided Feature Learning for Vehicle Re-identification
Vehicle Re-ID has recently attracted enthusiastic attention due to its p...
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05/16/2019
RGB-T Image Saliency Detection via Collaborative Graph Learning
Image saliency detection is an active research topic in the community of...
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11/27/2018
Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning
Incorporating various modes of information into the machine learning pro...
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11/25/2018
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking
The tracking-by-detection framework requires a set of positive and negat...
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11/24/2018
FANet: Quality-Aware Feature Aggregation Network for RGB-T Tracking
This paper investigates how to perform robust visual tracking in adverse...
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05/23/2018
RGB-T Object Tracking:Benchmark and Baseline
RGB-Thermal (RGB-T) object tracking receives more and more attention due...
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10/04/2017
Visual Tracking via Learning Dynamic Patch-based Graph Representation
Existing visual tracking methods usually localize a target object with a...
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01/11/2017