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09/18/2023
CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation
Audio-visual video segmentation (AVVS) aims to generate pixel-level maps...
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09/10/2023
Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
Audio-driven talking-head synthesis is a popular research topic for virt...
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08/25/2023
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
Tracking any given object(s) spatially and temporally is a common purpos...
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07/31/2023
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
In this study, we focus on the problem of 3D human mesh recovery from a ...
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07/23/2023
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering
In this paper, we focus on the task of generalizable neural human render...
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07/13/2023
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion
Large-scale pre-trained vision-language models allow for the zero-shot t...
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07/05/2023
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking
The Associating Objects with Transformers (AOT) framework has exhibited ...
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07/05/2023
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation
The Associating Objects with Transformers (AOT) framework has exhibited ...
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07/03/2023
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition
In real-world scenarios, collected and annotated data often exhibit the ...
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06/10/2023
Shuffled Autoregression For Motion Interpolation
This work aims to provide a deep-learning solution for the motion interp...
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05/17/2023
Pyramid Diffusion Models For Low-light Image Enhancement
Recovering noise-covered details from low-light images is challenging, a...
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05/11/2023
Segment and Track Anything
This report presents a framework called Segment And Track Anything (SAMT...
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05/08/2023
Video Object Segmentation in Panoptic Wild Scenes
In this paper, we introduce semi-supervised video object segmentation (V...
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03/26/2023
Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
Video-based 3D human pose and shape estimations are evaluated by intra-f...
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10/18/2022
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
This paper focuses on developing a more effective method of hierarchical...
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07/26/2022
V^2L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval
Product retrieval is of great importance in the ecommerce domain. This p...
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03/29/2022
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation
In this paper, we focus on the unsupervised Video Object Segmentation (V...
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03/22/2022
Associating Objects with Scalable Transformers for Video Object Segmentation
This paper investigates how to realize better and more efficient embeddi...
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06/04/2021
Associating Objects with Transformers for Video Object Segmentation
This paper investigates how to realize better and more efficient embeddi...
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06/02/2021
Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation
Referring video object segmentation (RVOS) aims to segment video objects...
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04/08/2021
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency
Compared to 2D object bounding-box labeling, it is very difficult for hu...
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10/13/2020
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
This paper investigates the principles of embedding learning to tackle t...
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03/18/2020
Collaborative Video Object Segmentation by Foreground-Background Integration
In this paper, we investigate the principles of embedding learning betwe...
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12/29/2019
Very Long Natural Scenery Image Prediction by Outpainting
Comparing to image inpainting, image outpainting receives less attention...
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09/25/2019
