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09/15/2023
Leveraging the Power of Data Augmentation for Transformer-based Tracking
Due to long-distance correlation and powerful pretrained models, transfo...
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08/14/2023
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
Transformer-based visual trackers have demonstrated significant progress...
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08/08/2023
Exploring Transformers for Open-world Instance Segmentation
Open-world instance segmentation is a rising task, which aims to segment...
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08/07/2023
Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection
Salient Object Detection (SOD) aims to identify and segment the most con...
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08/07/2023
Video-based Person Re-identification with Long Short-Term Representation Learning
Video-based person Re-Identification (V-ReID) aims to retrieve specific ...
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08/01/2023
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
Multi-Object Tracking (MOT) aims to detect and associate all desired obj...
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07/26/2023
Tracking Anything in High Quality
Visual object tracking is a fundamental video task in computer vision. R...
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07/23/2023
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
Deep learning (DL) has advanced the field of dense prediction, while gra...
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06/04/2023
3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW
In this paper, we introduce 3rd place solution for PVUW2023 VSS track. S...
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05/23/2023
Neural Image Re-Exposure
The shutter strategy applied to the photo-shooting process has a signifi...
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04/27/2023
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking
In this paper, we present a new sequence-to-sequence learning framework ...
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04/27/2023
Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification
Advanced deep Convolutional Neural Networks (CNNs) have shown great succ...
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04/19/2023
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
Perception systems in modern autonomous driving vehicles typically take ...
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03/24/2023
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data
Compared with traditional RGB-only visual tracking, few datasets have be...
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03/24/2023
GM-NeRF: Learning Generalizable Model-based Neural Radiance Fields from Multi-view Images
In this work, we focus on synthesizing high-fidelity novel view images f...
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03/23/2023
Plug-and-Play Regulators for Image-Text Matching
Exploiting fine-grained correspondence and visual-semantic alignments ha...
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03/20/2023
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
Accurate medical image segmentation is critical for early medical diagno...
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03/20/2023
Visual Prompt Multi-Modal Tracking
Visible-modal object tracking gives rise to a series of downstream multi...
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03/18/2023
Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation
Both static and moving objects usually exist in real-life videos. Most v...
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03/12/2023
Universal Instance Perception as Object Discovery and Retrieval
All instance perception tasks aim at finding certain objects specified b...
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12/06/2022
Pixel2ISDF: Implicit Signed Distance Fields based Human Body Model from Multi-view and Multi-pose Images
In this report, we focus on reconstructing clothed humans in the canonic...
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11/09/2022
Interactive Feature Embedding for Infrared and Visible Image Fusion
General deep learning-based methods for infrared and visible image fusio...
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07/14/2022
Towards Grand Unification of Object Tracking
We present a unified method, termed Unicorn, that can simultaneously sol...
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07/10/2022
SRRT: Search Region Regulation Tracking
Dominant trackers generate a fixed-size rectangular region based on the ...
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04/14/2022
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
Temporal modeling is crucial for video super-resolution. Most of the vid...
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04/08/2022
Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline
With the popularity of multi-modal sensors, visible-thermal (RGB-T) obje...
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03/30/2022
Deeply Interleaved Two-Stream Encoder for Referring Video Segmentation
Referring video segmentation aims to segment the corresponding video obj...
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03/25/2022
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
Recording fast motion in a high FPS (frame-per-second) requires expensiv...
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03/25/2022
Efficient Visual Tracking via Hierarchical Cross-Attention Transformer
In recent years, target tracking has made great progress in accuracy. Th...
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03/25/2022
High-Performance Transformer Tracking
Correlation has a critical role in the tracking field, especially in rec...
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03/09/2022
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction
Benefiting from color independence, illumination invariance and location...
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03/08/2022
Lane Detection with Versatile AtrousFormer and Local Semantic Guidance
Lane detection is one of the core functions in autonomous driving and ha...
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12/04/2021
TransCMD: Cross-Modal Decoder Equipped with Transformer for RGB-D Salient Object Detection
Most of the existing RGB-D salient object detection methods utilize the ...
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12/03/2021
MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection
Weakly supervised salient object detection (WSOD) targets to train a CNN...
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12/01/2021
Transformer-based Network for RGB-D Saliency Detection
RGB-D saliency detection integrates information from both RGB images and...
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09/24/2021
MODNet-V: Improving Portrait Video Matting via Background Restoration
To address the challenging portrait video matting problem more precisely...
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09/04/2021
To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection
Weakly-supervised salient object detection (WSOD) aims to develop salien...
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08/11/2021
Automatic Polyp Segmentation via Multi-scale Subtraction Network
More than 90% of colorectal cancer is gradually transformed from colorec...
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08/11/2021
Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
Location and appearance are the key cues for video object segmentation. ...
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08/09/2021
Video Annotation for Visual Tracking via Selection and Refinement
Deep learning based visual trackers entail offline pre-training on large...
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07/13/2021
HAT: Hierarchical Aggregation Transformers for Person Re-identification
Recently, with the advance of deep Convolutional Neural Networks (CNNs),...
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06/25/2021
Animatable Neural Radiance Fields from Monocular RGB Video
We present animatable neural radiance fields for detailed human avatar c...
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06/07/2021
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Recently unsupervised domain adaptation for the semantic segmentation ta...
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05/05/2021
Encoder Fusion Network with Co-Attention Embedding for Referring Image Segmentation
Recently, referring image segmentation has aroused widespread interest. ...
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04/29/2021
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search
Object tracking has achieved significant progress over the past few year...
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04/05/2021
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification
Video-based person re-identification (Re-ID) aims to retrieve video sequ...
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03/31/2021
Learning Spatio-Temporal Transformer for Visual Tracking
In this paper, we present a new tracking architecture with an encoder-de...
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03/29/2021
Transformer Tracking
Correlation acts as a critical role in the tracking field, especially in...
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03/07/2021
Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification
Video-based person re-identification (Re-ID) aims to automatically retri...
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01/29/2021