research
∙
09/06/2023
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning
3D dense captioning requires a model to translate its understanding of a...
share
research
∙
08/26/2023
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion
Unsupervised Domain Adaptation (UDA) is quite challenging due to the lar...
research
∙
08/13/2023
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
Deep learning methods have shown remarkable performance in image denoisi...
research
∙
01/06/2023
End-to-End 3D Dense Captioning with Vote2Cap-DETR
3D dense captioning aims to generate multiple captions localized with th...
research
∙
08/20/2022
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to extract the spans of ...
research
∙
04/02/2022
Semantic-Aware Domain Generalized Segmentation
Deep models trained on source domain lack generalization when evaluated ...
research
∙
03/31/2022
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds
Point cloud scene flow estimation is of practical importance for dynamic...
research
∙
01/09/2022
Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision
Learning dense point-wise semantics from unstructured 3D point clouds wi...
research
∙
12/04/2021
Overcome Anterograde Forgetting with Cycled Memory Networks
Learning from a sequence of tasks for a lifetime is essential for an age...
research
∙
12/03/2021
Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling
Unsupervised person re-identification (Re-ID) attracts increasing attent...
research
∙
11/23/2021
Reviewing continual learning from the perspective of human-level intelligence
Humans' continual learning (CL) ability is closely related to Stability ...
research
∙
08/05/2021
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
Semantic segmentation is a crucial image understanding task, where each ...
research
∙
07/30/2021
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation
Domain adaptation is critical for success when confronting with the lack...
research
∙
10/19/2020
Hierarchical Paired Channel Fusion Network for Street Scene Change Detection
Street Scene Change Detection (SSCD) aims to locate the changed regions ...
research
∙
10/12/2020
Dynamic Memory Enhanced Transformer for End-to-end Task-Oriented Dialogue System
Recent studies try to build task-oriented dialogue system in an end-to-e...
research
∙
07/07/2020
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Most existing crowd counting systems rely on the availability of the obj...
research
∙
02/29/2020
Towards Using Count-level Weak Supervision for Crowd Counting
Most existing crowd counting methods require object location-level annot...
research
∙
12/19/2019
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
Enabling a neural network to sequentially learn multiple tasks is of gre...
research
∙
11/15/2019
DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction
Distant Supervised Relation Extraction (DSRE) is usually formulated as a...
research
∙
10/08/2019
Deep Multiphase Level Set for Scene Parsing
Recently, Fully Convolutional Network (FCN) seems to be the go-to archit...
research
∙
08/01/2019
Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion
Semantic Scene Completion (SSC) aims to simultaneously predict the volum...
research
∙
03/01/2019
