research
∙
09/07/2023
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis
Due to the difficulty in scaling up, generative adversarial networks (GA...
share
research
∙
07/27/2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Prompt tuning and adapter tuning have shown great potential in transferr...
research
∙
06/21/2023
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
Despite the rapid advance of 3D-aware image synthesis, existing studies ...
research
∙
03/18/2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Semantically coherent out-of-distribution (SCOOD) detection aims to disc...
research
∙
03/09/2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
Human brains respond to semantic features of presented stimuli with diff...
research
∙
11/21/2022
Neural Dependencies Emerging from Learning Massive Categories
This work presents two astonishing findings on neural networks learned f...
research
∙
06/13/2022
Rank Diminishing in Deep Neural Networks
The rank of neural networks measures information flowing across layers. ...
research
∙
05/21/2022
Principled Knowledge Extrapolation with GANs
Human can extrapolate well, generalize daily knowledge into unseen scena...
research
∙
03/24/2022
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization
MLP-like models built entirely upon multi-layer perceptrons have recentl...
research
∙
03/03/2022
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification
RGB-infrared person re-identification is an emerging cross-modality re-i...
research
∙
03/03/2022
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification
Generalizable person re-identification aims to learn a model with only s...
research
∙
12/01/2021
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification
Existing person re-identification (ReID) methods typically directly load...
research
∙
11/27/2021
Calibrated Feature Decomposition for Generalizable Person Re-Identification
Existing disentangled-based methods for generalizable person re-identifi...
research
∙
08/11/2021
Semi-Supervised Domain Generalizable Person Re-Identification
Existing person re-identification (re-id) methods are stuck when deploye...
research
∙
07/31/2021
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification
Occluded person re-identification (ReID) aims to match person images wit...
research
∙
05/07/2021
Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
Although existing person re-identification (Re-ID) methods have shown im...
research
∙
04/15/2021
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
Video-based person re-identification aims to match pedestrians from vide...
research
∙
03/29/2021
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval
Cross-modal video-text retrieval, a challenging task in the field of vis...
research
∙
03/29/2021
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
Cloth-Changing person re-identification (CC-ReID) aims at matching the s...
research
∙
03/25/2021
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification
Unsupervised domain adaptive (UDA) person re-identification (ReID) aims ...
research
∙
03/23/2021
Group-aware Label Transfer for Domain Adaptive Person Re-identification
Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims ...
research
∙
12/16/2020
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
Many unsupervised domain adaptive (UDA) person re-identification (ReID) ...
research
∙
04/10/2020
Stacked Convolutional Deep Encoding Network for Video-Text Retrieval
Existing dominant approaches for cross-modal video-text retrieval task a...
research
∙
12/02/2019
