research
∙
09/18/2023
Progressive Text-to-Image Diffusion with Soft Latent Direction
In spite of the rapidly evolving landscape of text-to-image generation, ...
share
research
∙
04/03/2023
NeMF: Inverse Volume Rendering with Neural Microflake Field
Recovering the physical attributes of an object's appearance from its im...
research
∙
02/10/2023
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
Learning discriminative features for effectively separating abnormal eve...
research
∙
01/26/2023
Compact Transformer Tracker with Correlative Masked Modeling
Transformer framework has been showing superior performances in visual o...
research
∙
11/27/2022
Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
Occluded person re-identification (ReID) is a challenging problem due to...
research
∙
05/08/2022
Transformer Tracking with Cyclic Shifting Window Attention
Transformer architecture has been showing its great strength in visual o...
research
∙
03/08/2022
NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Implicit Representation
Existing neural reconstruction schemes such as Neural Radiance Field (Ne...
research
∙
04/13/2020
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
We aim at the problem named One-Shot Unsupervised Domain Adaptation. Unl...
research
∙
04/01/2019
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation
For unsupervised domain adaptation problems, the strategy of aligning th...
research
∙
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...
research
∙
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...
research
∙
07/22/2018