Sheng Jin

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 20

Top Topics

Semantic Segmentation

Top Venues

J. Frankl. Inst.

Publications

Xueying Jiang, Sheng Jin, Lewei Lu, Xiaoqin Zhang, Shijian Lu
Weakly Supervised Monocular 3D Detection with a Single-View Image. CoRR (2024)
Song Lian, Bin Zhou, Simon Hu, Jianghan Hu, Gaoang Wang, José Escribano, Xiaoxiang Na, Sheng Jin
Enhanced Multimodal Trajectory Prediction for Autonomous Vehicles Using Advanced Diffusion Model Techniques. IV (2024)
Sheng Jin, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors. CoRR (2024)
Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders. CoRR (2024)
Zhe Zhai, Qifu Tyler Sun, Sheng Jin, Shaoteng Liu, Xiangyu Chen
New Construction of (k + r,k) Systematic MDS Array Codes with r ≤ 4. ITW (2023)
Xiaojie Fang, Xingguo Song, Xiangyin Meng, Xu Fang, Sheng Jin
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation. CoRR (2023)
Qifu Tyler Sun, Sheng Jin, Zhe Zhai, Hao Wei, Zongpeng Li
A Unified Framework of Array Codes Based on Vector Linear Network Coding. ICCC (2023)
Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu
Vision-Language Models for Vision Tasks: A Survey. CoRR (2023)
Jiaxing Huang, Jingyi Zhang, Han Qiu, Sheng Jin, Shijian Lu
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation. CoRR (2023)
Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu
Domain Generalization via Balancing Training Difficulty and Model Capability. CoRR (2023)
Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu
Domain Generalization via Balancing Training Difficulty and Model Capability. ICCV (2023)
Sheng Jin, Shuhuai Li, Tong Li, Wentao Liu, Chen Qian, Ping Luo
You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception. CoRR (2023)
Bokui Chen, Chen Zhang, Sheng Jin, Yaohui Chen, Lixin Miao
Investigating Behavioral and Attitudinal Factors on Green Travel Incentive Mechanism. ICITE (2022)
Xiaojian Ding, Sheng Jin, Ming Lei, Fan Yang
A predictor-corrector affine scaling method to train optimized extreme learning machine. J. Frankl. Inst. 359 (2) (2022)
Chenyang Zhang, Rongchun Zhang, Sheng Jin, Xuefeng Yi
PFD-SLAM: A New RGB-D SLAM for Dynamic Indoor Environments Based on Non-Prior Semantic Segmentation. Remote. Sens. 14 (10) (2022)
Xiaojian Ding, Fan Yang, Sheng Jin, Jie Cao
An efficient alpha seeding method for optimized extreme learning machine-based feature selection algorithm. Comput. Biol. Medicine 134 (2021)
Sheng Jin
Unsupervised Semantic Deep Hashing. CoRR (2018)
Sheng Jin
Deep Saliency Hashing. CoRR (2018)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Sandip Sen, Sheng Jin
Hierarchical Heuristic Learning towards Effcient Norm Emergence. CoRR (2018)
Zhenmiao Deng, Maozhong Fu, Sheng Jin, Yixiong Zhang, Zhiling Wang
Joint estimation of motion parameters using Newton's method. IEEE Trans. Aerosp. Electron. Syst. 51 (4) (2015)
Sheng Jin, Byung-Jae Choi
Fuzzy Logic System Based Obstacle Avoidance for a Mobile Robot. FGIT-CA/CES3 (2011)
Sheng Jin, Yunming Li
Acquiring Range Data in the Binocular 3-D Computer Vision Using Edge-Based Hierarchical Matching. MVA (1988)
Sheng Jin, Yunming Li
Feature-based hierarchical registration of 3-D vision using star structure and circuits. ICPR (1988)