Search Results for author: Yuan Cheng

Found 20 papers, 8 papers with code

Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval

1 code implementation CVPR 2023 Tan Pan, Furong Xu, Xudong Yang, Sifeng He, Chen Jiang, Qingpei Guo, Feng Qian Xiaobo Zhang, Yuan Cheng, Lei Yang, Wei Chu

For traditional model upgrades, the old model will not be replaced by the new one until the embeddings of all the images in the database are re-computed by the new model, which takes days or weeks for a large amount of data.

Image Retrieval Retrieval

Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs

no code implementations20 Mar 2023 Yuan Cheng, Ruiquan Huang, Jing Yang, Yingbin Liang

In this work, we first provide the first known sample complexity lower bound that holds for any algorithm under low-rank MDPs.

reinforcement-learning Reinforcement Learning (RL) +1

DC-Former: Diverse and Compact Transformer for Person Re-Identification

1 code implementation28 Feb 2023 Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu

In this paper, we propose a Diverse and Compact Transformer (DC-Former) that can achieve a similar effect by splitting embedding space into multiple diverse and compact subspaces.

Person Re-Identification

3D Pose Based Feedback for Physical Exercises

1 code implementation5 Aug 2022 Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua

To evaluate our approach, we introduce a dataset with 3 different physical exercises.

Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022

no code implementations4 Jul 2022 Cheng Zou, Furong Xu, Meng Wang, Wen Li, Yuan Cheng

Automatic snake species recognition is important because it has vast potential to help lower deaths and disabilities caused by snakebites.

Self-Supervised Learning

Provable Benefit of Multitask Representation Learning in Reinforcement Learning

no code implementations13 Jun 2022 Yuan Cheng, Songtao Feng, Jing Yang, Hong Zhang, Yingbin Liang

To the best of our knowledge, this is the first theoretical study that characterizes the benefit of representation learning in exploration-based reward-free multitask RL for both upstream and downstream tasks.

Offline RL reinforcement-learning +2

EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition

no code implementations25 Mar 2022 Haiyang Sun, Zheng Lian, Bin Liu, Ying Li, Licai Sun, Cong Cai, JianHua Tao, Meng Wang, Yuan Cheng

We take spectrogram and wav2vec features as the inputs, followed with NAS to optimize the network structure for these features separately.

Neural Architecture Search Vocal Bursts Valence Prediction

Multi-modal Emotion Estimation for in-the-wild Videos

no code implementations24 Mar 2022 Liyu Meng, Yuchen Liu, Xiaolong Liu, Zhaopei Huang, Yuan Cheng, Meng Wang, Chuanhe Liu, Qin Jin

In this paper, we briefly introduce our submission to the Valence-Arousal Estimation Challenge of the 3rd Affective Behavior Analysis in-the-wild (ABAW) competition.

Arousal Estimation

Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation

1 code implementation CVPR 2022 Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie

Scene Graph Generation, which generally follows a regular encoder-decoder pipeline, aims to first encode the visual contents within the given image and then parse them into a compact summary graph.

Graph Generation Unbiased Scene Graph Generation

Hyperspectral Imaging for cherry tomato

no code implementations10 Mar 2022 Yun Xiang, Qijun Chen, Zhongjin Su, Lu Zhang, Zuohui Chen, Guozhi Zhou, Zhuping Yao, Qi Xuan, Yuan Cheng

Cherry tomato (Solanum Lycopersicum) is popular with consumers over the world due to its special flavor.

regression

HBReID: Harder Batch for Re-identification

no code implementations9 Dec 2021 Wen Li, Furong Xu, Jianan Zhao, Ruobing Zheng, Cheng Zou, Meng Wang, Yuan Cheng

Triplet loss is a widely adopted loss function in ReID task which pulls the hardest positive pairs close and pushes the hardest negative pairs far away.

Person Re-Identification

Discrimination-Aware Mechanism for Fine-Grained Representation Learning

no code implementations CVPR 2021 Furong Xu, Meng Wang, Wei zhang, Yuan Cheng, Wei Chu

Therefore, there is a need for a training mechanism that enforces the discriminativeness of all the elements in the feature to capture more the subtle visual cues.

Representation Learning Retrieval

Looking at CTR Prediction Again: Is Attention All You Need?

1 code implementation12 May 2021 Yuan Cheng, Yanbo Xue

Click-through rate (CTR) prediction is a critical problem in web search, recommendation systems and online advertisement displaying.

Click-Through Rate Prediction Recommendation Systems

HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression

no code implementations28 Feb 2020 Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong

The emerging edge computing has promoted immense interests in compacting a neural network without sacrificing much accuracy.

Edge-computing Tensor Decomposition

Early Predictions for Medical Crowdfunding: A Deep Learning Approach Using Diverse Inputs

no code implementations9 Nov 2019 Tong Wang, Fujie Jin, Yu, Hu, Yuan Cheng

The prediction model and the interpretable insights can be applied to assist fundraisers with better promoting their fundraising campaigns and can potentially help crowdfunding platforms to provide more timely feedback to all fundraisers.

Time Series Clustering

DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization

no code implementations21 May 2018 Yuan Cheng, Guangya Li, Hai-Bao Chen, Sheldon X. -D. Tan, Hao Yu

As it requires a huge number of parameters when exposed to high dimensional inputs in video detection and classification, there is a grand challenge to develop a compact yet accurate video comprehension at terminal devices.

Action Recognition General Classification +5

Event-Radar: Real-time Local Event Detection System for Geo-Tagged Tweet Streams

1 code implementation19 Aug 2017 Sibo Zhang, Yuan Cheng, Deyuan Ke

The local event detection is to use posting messages with geotags on social networks to reveal the related ongoing events and their locations.

Event Detection

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