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08/17/2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning
Graph Active Learning (GAL), which aims to find the most informative nod...
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01/03/2023
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation
Panoptic Part Segmentation (PPS) unifies panoptic segmentation and part ...
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01/02/2023
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
In this work, we focus on instance-level open vocabulary segmentation, i...
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12/30/2022
Label-Efficient Interactive Time-Series Anomaly Detection
Time-series anomaly detection is an important task and has been widely a...
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12/16/2022
Convolution-enhanced Evolving Attention Networks
Attention-based neural networks, such as Transformers, have become ubiqu...
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09/20/2022
Towards Robust Referring Image Segmentation
Referring Image Segmentation (RIS) aims to connect image and language vi...
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07/10/2022
SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow
In this paper, we focus on exploring effective methods for faster, accur...
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04/10/2022
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
This paper presents Video K-Net, a simple, strong, and unified framework...
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04/10/2022
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
Panoptic Part Segmentation (PPS) aims to unify panoptic segmentation and...
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04/10/2022
Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
Human fashion understanding is one important computer vision task since ...
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01/13/2022
TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers
Detection Transformer (DETR) and Deformable DETR have been proposed to e...
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10/03/2021
Graph Pointer Neural Networks
Graph Neural Networks (GNNs) have shown advantages in various graph-base...
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09/09/2021
Competence-based Curriculum Learning for Multilingual Machine Translation
Currently, multilingual machine translation is receiving more and more a...
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07/28/2021
Improving Video Instance Segmentation via Temporal Pyramid Routing
Video Instance Segmentation (VIS) is a new and inherently multi-task pro...
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07/28/2021
Global Aggregation then Local Distribution for Scene Parsing
Modelling long-range contextual relationships is critical for pixel-wise...
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05/25/2021
BoundarySqueeze: Image Segmentation as Boundary Squeezing
We propose a novel method for fine-grained high-quality image segmentati...
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05/25/2021
Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation
Representation of semantic context and local details is the essential is...
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05/25/2021
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks
In this paper, we propose an effective method for fast and accurate scen...
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05/23/2021
End-to-End Video Object Detection with Spatial-Temporal Transformers
Recently, DETR and Deformable DETR have been proposed to eliminate the n...
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03/29/2021
Enhanced Boundary Learning for Glass-like Object Segmentation
Glass-like objects such as windows, bottles, and mirrors exist widely in...
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03/13/2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Multivariate time-series forecasting plays a crucial role in many real-w...
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03/11/2021
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
Aerial Image Segmentation is a particular semantic segmentation problem ...
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03/07/2021
Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees
Pre-trained language models like BERT achieve superior performances in v...
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11/06/2020
Towards Efficient Scene Understanding via Squeeze Reasoning
Graph-based convolutional model such as non-local block has shown to be ...
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10/14/2020
AutoADR: Automatic Model Design for Ad Relevance
Large-scale pre-trained models have attracted extensive attention in the...
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09/04/2020
Multivariate Time-series Anomaly Detection via Graph Attention Network
Anomaly detection on multivariate time-series is of great importance in ...
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08/04/2020
Boundary Content Graph Neural Network for Temporal Action Proposal Generation
Temporal action proposal generation plays an important role in video act...
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07/20/2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Existing semantic segmentation approaches either aim to improve the obje...
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04/08/2020
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression
BERT is a cutting-edge language representation model pre-trained by a la...
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04/08/2020
Improving BERT with Self-Supervised Attention
One of the most popular paradigms of applying large, pre-trained NLP mod...
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02/24/2020
Semantic Flow for Fast and Accurate Scene Parsing
In this paper, we focus on effective methods for fast and accurate scene...
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12/23/2019
TextNAS: A Neural Architecture Search Space tailored for Text Representation
Learning text representation is crucial for text classification and othe...
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11/21/2019
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application
The graph is a natural representation of data in a variety of real-world...
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09/16/2019
Global Aggregation then Local Distribution in Fully Convolutional Networks
It has been widely proven that modelling long-range dependencies in full...
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09/13/2019
Dual Graph Convolutional Network for Semantic Segmentation
Exploiting long-range contextual information is key for pixel-wise predi...
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07/27/2019
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images
360 images are usually represented in either equirectangular projection ...
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04/03/2019
GFF: Gated Fully Fusion for Semantic Segmentation
Semantic segmentation generates comprehensive understanding of scenes at...
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03/02/2019