Image Segmentation using Dual Distribution Matching. - Tatsunori Taniai; Viet Quoc Pham; Keita Takahashi 001; Takeshi Naemura (BMVC, 2012)

Graph Cut Based Continuous Stereo Matching Using Locally Shared Labels. - Tatsunori Taniai; Yasuyuki Matsushita; Takeshi Naemura (CVPR, 2014)

Superdifferential cuts for binary energies. - Tatsunori Taniai; Yasuyuki Matsushita; Takeshi Naemura (CVPR, 2015)

Joint Recovery of Dense Correspondence and Cosegmentation in Two Images. - Tatsunori Taniai; Sudipta N. Sinha; Yoichi Sato 001 (CVPR, 2016)

Continuous Stereo Matching using Local Expansion Moves. - Tatsunori Taniai; Yasuyuki Matsushita; Yoichi Sato 001; Takeshi Naemura (CoRR, 2016)

Semi-global Stereo Matching with Surface Orientation Priors. - Daniel Scharstein; Tatsunori Taniai; Sudipta N. Sinha (3DV, 2017)

Fast Multi-frame Stereo Scene Flow with Motion Segmentation. - Tatsunori Taniai; Sudipta N. Sinha; Yoichi Sato 001 (CVPR, 2017)

Neural Inverse Rendering for General Reflectance Photometric Stereo. - Tatsunori Taniai; Takanori Maehara (ICML, 2018)

Neural Photometric Stereo Reconstruction for General Reflectance Surfaces. - Tatsunori Taniai; Takanori Maehara (CoRR, 2018)

Continuous 3D Label Stereo Matching Using Local Expansion Moves. - Tatsunori Taniai; Yasuyuki Matsushita; Yoichi Sato 001; Takeshi Naemura (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Path Planning using Neural A* Search. - Ryo Yonetani; Tatsunori Taniai; Mohammadamin Barekatain; Mai Nishimura; Asako Kanezaki (ICML, 2021)

Quasistatic contact-rich manipulation via linear complementarity quadratic programming. - Sotaro Katayama; Tatsunori Taniai; Kazutoshi Tanaka (IROS, 2022)

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery. - Yoshitomo Matsubara; Naoya Chiba; Ryo Igarashi 002; Tatsunori Taniai; Yoshitaka Ushiku (CoRR, 2022)

Neural Structure Fields with Application to Crystal Structure Autoencoders. - Naoya Chiba; Yuta Suzuki; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku; Kotaro Saito; Kanta Ono (CoRR, 2022)

Self-supervised learning of materials concepts from crystal structures via deep neural networks. - Yuta Suzuki; Tatsunori Taniai; Kotaro Saito; Yoshitaka Ushiku; Kanta Ono (Mach. Learn. Sci. Technol., 2022)

Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains. - Masafumi Endo; Tatsunori Taniai; Ryo Yonetani; Genya Ishigami (ICRA, 2023)

A Transformer Model for Symbolic Regression towards Scientific Discovery. - Florian Lalande; Yoshitomo Matsubara; Naoya Chiba; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku (CoRR, 2023)

Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding. - Tatsunori Taniai; Ryo Igarashi 002; Yuta Suzuki; Naoya Chiba; Kotaro Saito; Yoshitaka Ushiku; Kanta Ono (ICLR, 2024)

Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation. - Masafumi Endo; Tatsunori Taniai; Genya Ishigami (CoRR, 2024)

Rethinking the role of frames for SE(3)-invariant crystal structure modeling. - Yusei Ito; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku; Kanta Ono (ICLR, 2025)

Contrastive Language-Structure Pre-training Driven by Materials Science Literature. - Yuta Suzuki; Tatsunori Taniai; Ryo Igarashi 002; Kotaro Saito; Naoya Chiba; Yoshitaka Ushiku; Kanta Ono (CoRR, 2025)

CrystalFramer: Rethinking the Role of Frames for SE(3)-Invariant Crystal Structure Modeling. - Yusei Ito; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku; Kanta Ono (CoRR, 2025)