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08/27/2023
Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models
Generative pre-trained transformer (GPT) models have revolutionized the ...
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08/24/2023
Channel and Spatial Relation-Propagation Network for RGB-Thermal Semantic Segmentation
RGB-Thermal (RGB-T) semantic segmentation has shown great potential in h...
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08/23/2023
Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection
RGB-Thermal (RGB-T) pedestrian detection aims to locate the pedestrians ...
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07/31/2023
Transferable Decoding with Visual Entities for Zero-Shot Image Captioning
Image-to-text generation aims to describe images using natural language....
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05/29/2023
3D Model-based Zero-Shot Pose Estimation Pipeline
Most existing learning-based pose estimation methods are typically devel...
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03/25/2023
Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation
This paper aims to solve the video object segmentation (VOS) task in a s...
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03/21/2023
Joint Visual Grounding and Tracking with Natural Language Specification
Tracking by natural language specification aims to locate the referred t...
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01/17/2023
Audio2Gestures: Generating Diverse Gestures from Audio
People may perform diverse gestures affected by various mental and physi...
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10/20/2022
Uni6Dv3: 5D Anchor Mechanism for 6D Pose Estimation
Unlike indirect methods that usually require time-consuming post-process...
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10/04/2022
How Image Generation Helps Visible-to-Infrared Person Re-Identification?
Compared to visible-to-visible (V2V) person re-identification (ReID), th...
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09/23/2022
Multi-Granularity Graph Pooling for Video-based Person Re-Identification
The video-based person re-identification (ReID) aims to identify the giv...
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09/23/2022
Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network
Existing methods for video-based person re-identification (ReID) mainly ...
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09/23/2022
Towards Complete-View and High-Level Pose-based Gait Recognition
The model-based gait recognition methods usually adopt the pedestrian wa...
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08/30/2022
SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation
The traditional homography estimation pipeline consists of four main ste...
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06/26/2022
Two-Stage Neural Contextual Bandits for Personalised News Recommendation
We consider the problem of personalised news recommendation where each u...
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03/30/2022
Global Tracking via Ensemble of Local Trackers
The crux of long-term tracking lies in the difficulty of tracking the ta...
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03/08/2022
Skating-Mixer: Multimodal MLP for Scoring Figure Skating
Figure skating scoring is a challenging task because it requires judging...
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12/28/2021
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Semi-supervised learning is a challenging problem which aims to construc...
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08/15/2021
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders
Generating conversational gestures from speech audio is challenging due ...
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08/08/2021
Saliency-Associated Object Tracking
Most existing trackers based on deep learning perform tracking in a holi...
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04/15/2021
SiamCorners: Siamese Corner Networks for Visual Tracking
The current Siamese network based on region proposal network (RPN) has a...
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09/13/2020
TCDesc: Learning Topology Consistent Descriptors for Image Matching
The constraint of neighborhood consistency or local consistency is widel...
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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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07/03/2020
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking
Most existing tracking methods are based on using a classifier and multi...
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06/05/2020
TCDesc: Learning Topology Consistent Descriptors
Triplet loss is widely used for learning local descriptors from image pa...
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11/26/2019
Multi-Task Driven Feature Models for Thermal Infrared Tracking
Existing deep Thermal InfraRed (TIR) trackers usually use the feature mo...
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06/09/2019
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking
Existing deep Thermal InfraRed (TIR) trackers only use semantic features...
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04/03/2019
Target-Aware Deep Tracking
Existing deep trackers mainly use convolutional neural networks pre-trai...
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03/23/2018
Region-filtering Correlation Tracking
Recently, correlation filters have demonstrated the excellent performanc...
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01/18/2018
PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark
Thermal infrared (TIR) pedestrian tracking is one of the most important ...
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11/28/2017
Particle Filter Re-detection for Visual Tracking via Correlation Filters
Most of the correlation filter based tracking algorithms can achieve goo...
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11/27/2017