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08/14/2023
Temporal Sentence Grounding in Streaming Videos
This paper aims to tackle a novel task - Temporal Sentence Grounding in ...
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08/03/2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
How to enable learnability for new classes while keeping the capability ...
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05/17/2023
Self-Training Boosted Multi-Faceted Matching Network for Composed Image Retrieval
The composed image retrieval (CIR) task aims to retrieve the desired tar...
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03/15/2023
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation
The last decade has witnessed the proliferation of micro-videos on vario...
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07/24/2022
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem
Several studies have recently pointed that existing Visual Question Answ...
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07/21/2022
Semantic-aware Modular Capsule Routing for Visual Question Answering
Visual Question Answering (VQA) is fundamentally compositional in nature...
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07/12/2022
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors
Conventional knowledge distillation (KD) methods for object detection ma...
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03/18/2022
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
Scene Graph Generation, which generally follows a regular encoder-decode...
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04/03/2021
Graph Contrastive Clustering
Recently, some contrastive learning methods have been proposed to simult...
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08/20/2020
Multi-modal Cooking Workflow Construction for Food Recipes
Understanding food recipe requires anticipating the implicit causal effe...
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07/09/2020
Maximum-and-Concatenation Networks
While successful in many fields, deep neural networks (DNNs) still suffe...
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11/23/2019
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
The correspondence between residual networks and dynamical systems motiv...
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11/18/2019
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
The panoptic segmentation task requires a unified result from semantic a...
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07/31/2019
Expectation-Maximization Attention Networks for Semantic Segmentation
Self-attention mechanism has been widely used for various tasks. It is d...
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05/15/2019
Differentiable Linearized ADMM
Recently, a number of learning-based optimization methods that combine d...
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04/15/2019
Deep Comprehensive Correlation Mining for Image Clustering
Recent developed deep unsupervised methods allow us to jointly learn rep...
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11/09/2018
Matrix Recovery with Implicitly Low-Rank Data
In this paper, we study the problem of matrix recovery, which aims to re...
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07/16/2018
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
Rain streaks can severely degrade the visibility, which causes many curr...
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07/10/2018