Search Results for author: Lifang Wu

Found 8 papers, 1 papers with code

Knowledge Guided Entity-aware Video Captioning and A Basketball Benchmark

no code implementations25 Jan 2024 Zeyu Xi, Ge Shi, Xuefen Li, Junchi Yan, Zun Li, Lifang Wu, Zilin Liu, Liang Wang

We develop a knowledge guided entity-aware video captioning network (KEANet) based on a candidate player list in encoder-decoder form for basketball live text broadcast.

Video Captioning

Knowledge Augmented Relation Inference for Group Activity Recognition

no code implementations28 Feb 2023 Xianglong Lang, Zhuming Wang, Zun Li, Meng Tian, Ge Shi, Lifang Wu, Liang Wang

Specifically, the framework consists of a Visual Representation Module to extract individual appearance features, a Knowledge Augmented Semantic Relation Module explore semantic representations of individual actions, and a Knowledge-Semantic-Visual Interaction Module aims to integrate visual and semantic information by the knowledge.

Group Activity Recognition Relation

QuickSkill: Novice Skill Estimation in Online Multiplayer Games

no code implementations15 Aug 2022 Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng

However, the skill rating of a novice is usually inaccurate, as current matchmaking rating algorithms require considerable amount of games for learning the true skill of a new player.

Fairness

Learning to Compose Diversified Prompts for Image Emotion Classification

no code implementations26 Jan 2022 Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian, Ye Xiang

We first introduce a prompt tuning method that mimics the pretraining objective of CLIP and thus can leverage the rich image and text semantics entailed in CLIP.

Classification Emotion Classification +2

Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos

no code implementations13 Jul 2020 Lifang Wu, Zhou Yang, Qi. Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen

Based on the observations, we propose a scheme to fuse global and local motion patterns (MPs) and key visual information (KVI) for semantic event recognition in basketball videos.

Group Activity Recognition Optical Flow Estimation

Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention

no code implementations IEEE Access 2020 Dezhong Xu, HENG FU, Lifang Wu, Meng Jian, Dong Wang, AND XU LIU

Then, we propose two types of inference models, opt-GRU and relation-GRU, which are used to encode the object relationship and motion representation effectively, and form the discriminative frame-level feature representation.

Autonomous Vehicles Group Activity Recognition +3

LFFD: A Light and Fast Face Detector for Edge Devices

15 code implementations24 Apr 2019 Yonghao He, Dezhong Xu, Lifang Wu, Meng Jian, Shiming Xiang, Chunhong Pan

Under the new schema, the proposed method can achieve superior accuracy (WIDER FACE Val/Test -- Easy: 0. 910/0. 896, Medium: 0. 881/0. 865, Hard: 0. 780/0. 770; FDDB -- discontinuous: 0. 973, continuous: 0. 724).

Face Detection

Ontology Based Global and Collective Motion Patterns for Event Classification in Basketball Videos

no code implementations16 Mar 2019 Lifang Wu, Zhou Yang, Jiaoyu He, Meng Jian, Yaowen Xu, Dezhong Xu, Chang Wen Chen

Therefore, a semantic event in broadcast basketball videos is closely related to both the global motion (camera motion) and the collective motion.

Classification General Classification +1

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