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07/30/2023
Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation
Video-based scene graph generation (VidSGG) is an approach that aims to ...
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07/03/2023
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation
This work addresses the challenging domain adaptation setting in which k...
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05/24/2023
Mitigating Biased Activation in Weakly-supervised Object Localization via Counterfactual Learning
In this paper, we focus on an under-explored issue of biased activation ...
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03/23/2023
Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label Learning
Current video-based scene graph generation (VidSGG) methods have been fo...
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01/03/2023
Further Improving Weakly-supervised Object Localization via Causal Knowledge Distillation
Weakly-supervised object localization aims to indicate the category as w...
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04/16/2022
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation
A thriving trend for domain adaptive segmentation endeavors to generate ...
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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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02/25/2022
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning
The expensive annotation cost is notoriously known as a main constraint ...
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11/28/2021
Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation
Unsupervised domain adaptive person re-identification has received signi...
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09/29/2021
Contrastive Video-Language Segmentation
We focus on the problem of segmenting a certain object referred by a nat...
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06/01/2021
Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes
Few-shot segmentation (FSS) performance has been extensively promoted by...
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05/31/2021
VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
In this paper, we investigate the task of hallucinating an authentic hig...
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04/21/2021
Improving Weakly-supervised Object Localization via Causal Intervention
The recent emerged weakly supervised object localization (WSOL) methods ...
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03/19/2021
ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation
Text-based video segmentation is a challenging task that segments out th...
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03/08/2021
Look, Evolve and Mold: Learning 3D Shape Manifold via Single-view Synthetic Data
With daily observation and prior knowledge, it is easy for us human to i...
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04/13/2020
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
We aim at the problem named One-Shot Unsupervised Domain Adaptation. Unl...
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02/25/2020
Copy and Paste GAN: Face Hallucination from Shaded Thumbnails
Existing face hallucination methods based on convolutional neural networ...
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04/01/2019
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation
For unsupervised domain adaptation problems, the strategy of aligning th...
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09/26/2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning
Graph convolutional network (GCN) provides a powerful means for graph-ba...
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09/25/2018
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
We consider the problem of unsupervised domain adaptation in semantic se...
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07/22/2018