Search Results for author: Yu Cui

Found 6 papers, 2 papers with code

VTAO-BiManip: Masked Visual-Tactile-Action Pre-training with Object Understanding for Bimanual Dexterous Manipulation

no code implementations7 Jan 2025 Zhengnan Sun, Zhaotai Shi, Jiayin Chen, Qingtao Liu, Yu Cui, Qi Ye, Jiming Chen

In this paper, we introduce VTAO-BiManip, a novel framework that combines visual-tactile-action pretraining with object understanding to facilitate curriculum RL to enable human-like bimanual manipulation.

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model

1 code implementation1 May 2024 Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen

Owing to their powerful semantic reasoning capabilities, Large Language Models (LLMs) have been effectively utilized as recommenders, achieving impressive performance.

Knowledge Distillation Language Modeling +2

Adaptive Confidence Multi-View Hashing for Multimedia Retrieval

1 code implementation12 Dec 2023 Jian Zhu, Yu Cui, Zhangmin Huang, Xingyu Li, Lei Liu, Lingfang Zeng, Li-Rong Dai

Furthermore, an adaptive confidence multi-view network is employed to measure the confidence of each view and then fuse multi-view features through a weighted summation.

Retrieval

Central Similarity Multi-View Hashing for Multimedia Retrieval

no code implementations26 Aug 2023 Jian Zhu, Wen Cheng, Yu Cui, Chang Tang, Yuyang Dai, Yong Li, Lingfang Zeng

Hash representation learning of multi-view heterogeneous data is the key to improving the accuracy of multimedia retrieval.

Representation Learning Retrieval

Deep Metric Multi-View Hashing for Multimedia Retrieval

no code implementations13 Apr 2023 Jian Zhu, Zhangmin Huang, Xiaohu Ruan, Yu Cui, Yongli Cheng, Lingfang Zeng

However, existing methods fail to effectively fuse the multi-view features and utilize the metric information provided by the dissimilar samples, leading to limited retrieval precision.

Metric Learning Retrieval

VReBERT: A Simple and Flexible Transformer for Visual Relationship Detection

no code implementations18 Jun 2022 Yu Cui, Moshiur Farazi

Visual Relationship Detection (VRD) impels a computer vision model to 'see' beyond an individual object instance and 'understand' how different objects in a scene are related.

Object Relationship Detection +1

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