Fast image/video collection summarization with local clustering. - Shuhei Tarashima; Go Irie; Ken Tsutsuguchi; Hiroyuki Arai; Yukinobu Taniguchi (ACM Multimedia, 2013)

Joint object discovery and segmentation with image-wise reconstruction error. - Shuhei Tarashima; Jingjing Pan; Go Irie; Takayuki Kurozumi; Tetsuya Kinebuchi (ICIP, 2016)

Cross-modal transfer with neural word vectors for image feature learning. - Go Irie; Taichi Asami; Shuhei Tarashima; Takayuki Kurozumi; Tetsuya Kinebuchi (ICASSP, 2017)

Keypoint Matching for Non-Rigid Object via Locally Consistent Visual Pattern Mining. - Shuhei Tarashima; Jun Shimamura; Tetsuya Kinebuchi; Shin'ichi Satah (ICIP, 2018)

Unsupervised Object Proposal Using Depth Boundary Density and Density Uniformity. - Takashi Hosono; Shuhei Tarashima; Jun Shimamura; Tetsuya Kinebuchi (IROS, 2018)

SFLNet: Direct Sports Field Localization via CNN-Based Regression. - Shuhei Tarashima (ACPR (1), 2019)

One-Shot Deep Model for End-to-End Multi-Person Activity Recognition. - Shuhei Tarashima (BMVC, 2021)

Object Hypotheses as Points for Efficient Multi-Object Tracking. - Shuhei Tarashima (VISIGRAPP (5: VISAPP), 2021)

Sports Field Recognition Using Deep Multi-task Learning. - Shuhei Tarashima (J. Inf. Process., 2021)

Widely Applicable Strong Baseline for Sports Ball Detection and Tracking. - Shuhei Tarashima; Muhammad Abdul Haq; Yushan Wang; Norio Tagawa (BMVC, 2023)

BiLMa: Bidirectional Local-Matching for Text-based Person Re-identification. - Takuro Fujii; Shuhei Tarashima (ICCV (Workshops), 2023)

Plug-and-Play Acceleration of Occupancy Grid-based NeRF Rendering using VDB Grid and Hierarchical Ray Traversal. - Yoshio Kato; Shuhei Tarashima (CoRR, 2024)

RacketDB: A Comprehensive Dataset for Badminton Racket Detection. - Muhammad Abdul Haq; Shuhei Tarashima; Norio Tagawa (VISIGRAPP (3): VISAPP, 2025)

Efficient 3D Human Pose and Shape Estimation Using Group-Mix Attention in Transformer Models. - Yushan Wang; Shuhei Tarashima; Norio Tagawa (VISIGRAPP (2): VISAPP, 2025)

ViLAaD: Enhancing "Attracting and Dispersing" Source-Free Domain Adaptation with Vision-and-Language Model. - Shuhei Tarashima; Xinqi Shu; Norio Tagawa (CoRR, 2025)