1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Meizu (China)CN5 papers
- Chinese Academy of SciencesCN3 papers
- Shanghai Jiao Tong UniversityCN3 papers
- University of Chinese Academy of SciencesCN3 papers
- Beijing University of Posts and TelecommunicationsCN2 papers
- Fudan UniversityCN2 papers
- Xidian UniversityCN2 papers
- Alpha Omega Alpha Medical Honor SocietyUS1 paper
- Beihang UniversityCN1 paper
- Beijing Institute of TechnologyCN1 paper
- BOE Technology Group (China)CN1 paper
- China Meat Research CentreCN1 paper
22 papers
Hierarchical GTV Estimation: Bridging the Gap between Container-Level Ranking and Item-Level Conversion
Zerong Lan, Fan Zhang, Chuang Chen +3
Emerging e-commerce platforms, such as live-streaming and Online-to-Offline (O2O) services, inherently operate under a "Container-based" display paradigm. In this setting, a critic…
DENSE: Distilling Agent Trajectories into Evidence-Grounded Shortcut Trees for Self-Refinement
Siyuan Liu, Fan Yu, Dongyu Ru +5
Online agent deployments accumulate execution trajectories at massive scale and behavioral diversity, for which predefined annotation criteria hardly exist. Extracting useful evide…
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration
Liqi Yan, Qifan Wang, Siqi Ma +2
Instance segmentation in videos, which aims to segment and track multiple objects in video frames, has garnered a flurry of research attention in recent years. In this paper, we pr…
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
Yifang Qin, Yifan Wang, Fang Sun +6
Point-of-Interest (POI) recommendation plays a vital role in various location-aware services. It has been observed that POI recommendation is driven by both sequential and geograph…
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
Junyu Luo, Jiahui Fu, Xianghao Kong +5
3D visual grounding aims to locate the referred target object in 3D point cloud scenes according to a free-form language description. Previous methods mostly follow a two-stage par…
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis
Kai Zhang, Kun Zhang, Mengdi Zhang +4
Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towards a specific aspect in the given sentence. While pre-trained language models such as BERT have achieved gre…
On the evaluation of (meta-)solver approaches
Roberto Amadini, Maurizio Gabbrielli, Tong Liu +1
Meta-solver approaches exploits a number of individual solvers to potentially build a better solver. To assess the performance of meta-solvers, one can simply adopt the metrics typ…
A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation
Runze Chen, Haiyong Luo, Fang Zhao +3
Inertial sensor-based human activity recognition (HAR) is the base of many human-centered mobile applications. Deep learning-based fine-grained HAR models enable accurate classific…
Action Shuffling for Weakly Supervised Temporal Localization
Xiao-Yu Zhang, Haichao Shi, Changsheng Li +1
Weakly supervised action localization is a challenging task with extensive applications, which aims to identify actions and the corresponding temporal intervals with only video-lev…
ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation
Qiang Cui, Chenrui Zhang, Yafeng Zhang +2
Point-of-Interest (POI) recommendation is an important task in location-based social networks. It facilitates the relation modeling between users and locations. Recently, researche…
Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
Zhaoyuan Yin, Jia Zheng, Weixin Luo +3
This paper proposes a framework for the interactive video object segmentation (VOS) in the wild where users can choose some frames for annotations iteratively. Then, based on the u…
Query-aware Tip Generation for Vertical Search
Yang Yang, Junmei Hao, Canjia Li +7
As a concise form of user reviews, tips have unique advantages to explain the search results, assist users' decision making, and further improve user experience in vertical search…
Answer-Driven Visual State Estimator for Goal-Oriented Visual Dialogue
Zipeng Xu, Fangxiang Feng, Xiaojie Wang +3
A goal-oriented visual dialogue involves multi-turn interactions between two agents, Questioner and Oracle. During which, the answer given by Oracle is of great significance, as it…
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu, Xiaoxing Wang, Bo Zhang +3
Despite the fast development of differentiable architecture search (DARTS), it suffers from long-standing performance instability, which extremely limits its application. Existing…
Noisy Differentiable Architecture Search
Xiangxiang Chu, Bo Zhang
Simplicity is the ultimate sophistication. Differentiable Architecture Search (DARTS) has now become one of the mainstream paradigms of neural architecture search. However, it larg…
Adversarial Domain Adaptation with Prototype-Based Normalized Output Conditioner
Dapeng Hu, Jian Liang, Qibin Hou +2
In this work, we attempt to address unsupervised domain adaptation by devising simple and compact conditional domain adversarial training methods. We first revisit the simple conca…
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
Tianrui Liu, Wenhan Luo, Lin Ma +3
Pedestrian detection methods have been significantly improved with the development of deep convolutional neural networks. Nevertheless, detecting small-scaled pedestrians and occlu…
StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology
Yanliang Zhu, Deheng Qian, Dongchun Ren +1
Pedestrian trajectory prediction is crucial for many important applications. This problem is a great challenge because of complicated interactions among pedestrians. Previous metho…
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
Kan Ren, Weinan Zhang, Ke Chang +3
Real-time bidding (RTB) based display advertising has become one of the key technological advances in computational advertising. RTB enables advertisers to buy individual ad impres…
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
Hongwei Wang, Fuzheng Zhang, Jialin Wang +4
To address the sparsity and cold start problem of collaborative filtering, researchers usually make use of side information, such as social networks or item attributes, to improve…
Joint Denoising / Compression of Image Contours via Shape Prior and Context Tree
Amin Zheng, Gene Cheung, Dinei Florencio
With the advent of depth sensing technologies, the extraction of object contours in images---a common and important pre-processing step for later higher-level computer vision tasks…