23 citations · 56 across the 13 of their papers we have counts for
16 papers
VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation
Wenhao Wang, Yi Yang
Text-to-video generative models convert textual prompts into dynamic visual content, offering wide-ranging applications in film production, gaming, and education. However, their re…
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Wenhao Wang, Yi Yang
Video generation models are revolutionizing content creation, with image-to-video models drawing increasing attention due to their enhanced controllability, visual consistency, and…
Replication in Visual Diffusion Models: A Survey and Outlook
Wenhao Wang, Yifan Sun, Zongxin Yang +3
Visual diffusion models have revolutionized the field of creative AI, producing high-quality and diverse content. However, they inevitably memorize training images or videos, subse…
AnyPattern: Towards In-context Image Copy Detection
Wenhao Wang, Yifan Sun, Zhentao Tan +1
This paper explores in-context learning for image copy detection (ICD), i.e., prompting an ICD model to identify replicated images with new tampering patterns without the need for…
MS-DETR: Efficient DETR Training with Mixed Supervision
Chuyang Zhao, Yifan Sun, Wenhao Wang +4
DETR accomplishes end-to-end object detection through iteratively generating multiple object candidates based on image features and promoting one candidate for each ground-truth ob…
Feature-compatible Progressive Learning for Video Copy Detection
Wenhao Wang, Yifan Sun, Yi Yang
Video Copy Detection (VCD) has been developed to identify instances of unauthorized or duplicated video content. This paper presents our second place solutions to the Meta AI Video…
TransHP: Image Classification with Hierarchical Prompting
Wenhao Wang, Yifan Sun, Wei Li +1
This paper explores a hierarchical prompting mechanism for the hierarchical image classification (HIC) task. Different from prior HIC methods, our hierarchical prompting is the fir…
VL: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval
Wenhao Wang, Yifan Sun, Zongxin Yang +1
Product retrieval is of great importance in the ecommerce domain. This paper introduces our 1st-place solution in eBay eProduct Visual Search Challenge (FGVC9), which is featured f…
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection
Wenhao Wang, Yifan Sun, Yi Yang
Image copy detection (ICD) aims to determine whether a query image is an edited copy of any image from a reference set. Currently, there are very limited public benchmarks for ICD,…
Results and findings of the 2021 Image Similarity Challenge
Zoë Papakipos, Giorgos Tolias, Tomas Jenicek +11
The 2021 Image Similarity Challenge introduced a dataset to serve as a new benchmark to evaluate recent image copy detection methods. There were 200 participants to the competition…
Bag of Tricks and A Strong baseline for Image Copy Detection
Wenhao Wang, Weipu Zhang, Yifan Sun +1
Image copy detection is of great importance in real-life social media. In this paper, a bag of tricks and a strong baseline are proposed for image copy detection. Unsupervised pre-…
DLV: A Data-Driven and Local-Verification Approach for Image Copy Detection
Wenhao Wang, Yifan Sun, Weipu Zhang +1
Image copy detection is of great importance in real-life social media. In this paper, a data-driven and local-verification (DLV) approach is proposed to compete for Image Simil…
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction
Fang Zhao, Wenhao Wang, Shengcai Liao +1
While single-view 3D reconstruction has made significant progress benefiting from deep shape representations in recent years, garment reconstruction is still not solved well due to…
DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations
Wenhao Wang, Shengcai Liao, Fang Zhao +2
Existing person re-identification models often have low generalizability, which is mostly due to limited availability of large-scale labeled data in training. However, labeling lar…
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond
Wenhao Wang, Fang Zhao, Shengcai Liao +1
Unsupervised domain adaptation (UDA) for person re-identification is challenging because of the huge gap between the source and target domain. A typical self-training method is to…
Adapted Center and Scale Prediction: More Stable and More Accurate
Wenhao Wang, Jusheng Zhang
Pedestrian detection benefits from deep learning technology and gains rapid development in recent years. Most of detectors follow general object detection frame, i.e. default boxes…