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05/03/2023
CLUSTSEG: Clustering for Universal Segmentation
We present CLUSTSEG, a general, transformer-based framework that tackles...
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04/03/2023
Learning Anchor Transformations for 3D Garment Animation
This paper proposes an anchor-based deformation model, namely AnchorDEF,...
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03/17/2023
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
The objective of this paper is self-supervised learning of video object ...
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01/30/2023
FedFA: Federated Feature Augmentation
Federated learning is a distributed paradigm that allows multiple partie...
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11/28/2022
Unsupervised Superpixel Generation using Edge-Sparse Embedding
Partitioning an image into superpixels based on the similarity of pixels...
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09/15/2022
Visual Recognition with Deep Nearest Centroids
We devise deep nearest centroids (DNC), a conceptually elegant yet surpr...
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03/28/2022
Rethinking Semantic Segmentation: A Prototype View
Prevalent semantic segmentation solutions, despite their different netwo...
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03/27/2022
Deep Hierarchical Semantic Segmentation
Humans are able to recognize structured relations in observation, allowi...
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03/27/2022
Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
Our target is to learn visual correspondence from unlabeled videos. We d...
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03/26/2022
Visual Abductive Reasoning
Abductive reasoning seeks the likeliest possible explanation for partial...
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03/18/2022
Local-Global Context Aware Transformer for Language-Guided Video Segmentation
We explore the task of language-guided video segmentation (LVS). Previou...
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03/17/2022
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
Learning semantic segmentation from weakly-labeled (e.g., image tags onl...
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01/02/2022
Detail-Preserving Transformer for Light Field Image Super-Resolution
Recently, numerous algorithms have been developed to tackle the problem ...
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10/15/2021
Multi-modal Aggregation Network for Fast MR Imaging
Magnetic resonance (MR) imaging is a commonly used scanning technique fo...
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07/02/2021
A Survey on Deep Learning Technique for Video Segmentation
Video segmentation, i.e., partitioning video frames into multiple segmen...
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06/20/2021
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
Despite recent progress of automatic medical image segmentation techniqu...
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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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04/10/2021
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation
This paper addresses the task of unsupervised video multi-object segment...
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03/30/2021
Face Forensics in the Wild
On existing public benchmarks, face forgery detection techniques have ac...
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03/08/2021
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing
To address the challenging task of instance-aware human part parsing, a ...
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02/26/2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
Chest X-rays are an important and accessible clinical imaging tool for t...
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01/28/2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Current semantic segmentation methods focus only on mining "local" conte...
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12/09/2020
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Acquiring sufficient ground-truth supervision to train deep visual model...
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07/23/2020
Weakly Supervised 3D Object Detection from Lidar Point Cloud
It is laborious to manually label point cloud data for training high-qua...
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07/14/2020
Video Object Segmentation with Episodic Graph Memory Networks
How to make a segmentation model to efficiently adapt to a specific vide...
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03/09/2020
Cascaded Human-Object Interaction Recognition
Rapid progress has been witnessed for human-object interaction (HOI) rec...
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03/09/2020
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
In this paper, we present a novel Motion-Attentive Transition Network (M...
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01/19/2015
Instance Significance Guided Multiple Instance Boosting for Robust Visual Tracking
Multiple Instance Learning (MIL) recently provides an appealing way to a...
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10/28/2014
