113 citations · 292 across the 14 of their papers we have counts for
14 papers
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation
Weixuan Sun, Yanhao Zhang, Zhen Qin +5
In this work, we propose a new transformer-based regularization to better localize objects for Weakly supervised semantic segmentation (WSSS). In image-level WSSS, Class Activation…
View Consistent Purification for Accurate Cross-View Localization
Shan Wang, Yanhao Zhang, Akhil Perincherry +2
This paper proposes a fine-grained self-localization method for outdoor robotics that utilizes a flexible number of onboard cameras and readily accessible satellite images. The pro…
TALL: Thumbnail Layout for Deepfake Video Detection
Yuting Xu, Jian Liang, Gengyun Jia +3
The growing threats of deepfakes to society and cybersecurity have raised enormous public concerns, and increasing efforts have been devoted to this critical topic of deepfake vide…
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
Weixuan Sun, Zheyuan Liu, Yanhao Zhang +2
The Segment Anything Model (SAM) has demonstrated exceptional performance and versatility, making it a promising tool for various related tasks. In this report, we explore the appl…
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
Weixuan Sun, Jiayi Zhang, Jianyuan Wang +6
Self-supervised audio-visual source localization aims to locate sound-source objects in video frames without extra annotations. Recent methods often approach this goal with the hel…
GAM : Gradient Attention Module of Optimization for Point Clouds Analysis
Haotian Hu, Fanyi Wang, Jingwen Su +5
In point cloud analysis tasks, the existing local feature aggregation descriptors (LFAD) are unable to fully utilize information in the neighborhood of central points. Previous met…
NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction
Ruyi Zha, Yanhao Zhang, Hongdong Li
This paper proposes a novel and fast self-supervised solution for sparse-view CBCT reconstruction (Cone Beam Computed Tomography) that requires no external training data. Specifica…
Satellite Image Based Cross-view Localization for Autonomous Vehicle
Shan Wang, Yanhao Zhang, Ankit Vora +2
Existing spatial localization techniques for autonomous vehicles mostly use a pre-built 3D-HD map, often constructed using a survey-grade 3D mapping vehicle, which is not only expe…
RCL: Recurrent Continuous Localization for Temporal Action Detection
Qiang Wang, Yanhao Zhang, Yun Zheng +1
Temporal representation is the cornerstone of modern action detection techniques. State-of-the-art methods mostly rely on a dense anchoring scheme, where anchors are sampled unifor…
Disentangled Representation Learning for Text-Video Retrieval
Qiang Wang, Yanhao Zhang, Yun Zheng +2
Cross-modality interaction is a critical component in Text-Video Retrieval (TVR), yet there has been little examination of how different influencing factors for computing interacti…
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce
Yanhao Zhang, Qiang Wang, Pan Pan +4
Nowadays, live-stream and short video shopping in E-commerce have grown exponentially. However, the sellers are required to manually match images of the selling products to the tim…
Visual Search at Alibaba
Yanhao Zhang, Pan Pan, Yun Zheng +4
This paper introduces the large scale visual search algorithm and system infrastructure at Alibaba. The following challenges are discussed under the E-commercial circumstance at Al…
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance
Yanhao Zhang, Pan Pan, Yun Zheng +4
Visual search plays an essential role for E-commerce. To meet the search demands of users and promote shopping experience at Alibaba, visual search relevance of real-shot images is…
Large-Scale Visual Search with Binary Distributed Graph at Alibaba
Kang Zhao, Pan Pan, Yun Zheng +5
Graph-based approximate nearest neighbor search has attracted more and more attentions due to its online search advantages. Numbers of methods studying the enhancement of speed and…