Multiple View Geometry for Non-rigid Motions Viewed from Translational Cameras. - Cheng Wan 003; Kazuki Kozuka; Jun Sato (ACCV (2), 2007)

Rectification of 3D Data Obtained from Moving Range Sensors by using Multiple View Geometry. - Kazuki Kozuka; Jun Sato (ICIAP, 2007)

Multiple View Geometry for Mixed Dimensional Cameras. - Kazuki Kozuka; Jun Sato (VISAPP (1), 2008)

Rectification of 3D data obtained from moving range sensor by using extended projective multiple view geometry. - Kazuki Kozuka; Cheng Wan 003; Jun Sato (Int. J. Autom. Comput., 2008)

Assessment of Speech Discrimination Based on the Event-Related Potentials to the Visual Stimuli. - Koji Morikawa; Kazuki Kozuka; Shinobu Adachi (ICC, 2011)

A Proposed Speech Discrimination Assessment Methodology Based on Event-Related Potentials to Visual Stimuli. - Koji Morikawa; Kazuki Kozuka; Shinobu Adachi (Int. J. E Health Medical Commun., 2012)

Learning Multiple Complex Features Based on Classification Results. - Yoshikuni Sato; Kazuki Kozuka; Yoshihide Sawada; Masaki Kiyono (ICPR, 2014)

Determination of lung regions on chest ct images with diffuse lung diseases by use of anatomical structures and pulmonary textures. - Kyohei Karasawa; Shoji Kido; Yasushi Hirano; Kazuki Kozuka (EMBC, 2015)

Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset. - Yoshihide Sawada; Kazuki Kozuka (MVA, 2015)

Risky Region Localization with Point Supervision. - Kazuki Kozuka; Juan Carlos Niebles (ICCV Workshops, 2017)

Simultaneous Visual Context-aware Path Prediction. - Haruka Iesaki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Yasunori Ishii; Kazuki Kozuka; Ryota Fujimura (VISIGRAPP (4: VISAPP), 2020)

Contrastive Neural Processes for Self-Supervised Learning. - Konstantinos Kallidromitis; Denis A. Gudovskiy; Kazuki Kozuka; Ohama Iku; Luca Rigazio (ACML, 2021)

AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation. - Denis A. Gudovskiy; Luca Rigazio; Shun Ishizaka; Kazuki Kozuka; Sotaro Tsukizawa (CVPR, 2021)

Home Action Genome: Cooperative Compositional Action Understanding. - Nishant Rai; Haofeng Chen; Jingwei Ji; Rishi Desai; Kazuki Kozuka; Shun Ishizaka; Ehsan Adeli 001; Juan Carlos Niebles (CVPR, 2021)

CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows. - Denis A. Gudovskiy; Shun Ishizaka; Kazuki Kozuka (WACV, 2022)

Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder. - Risako Tanigawa; Yasunori Ishii; Kazuki Kozuka; Takayoshi Yamashita (CoRR, 2022)

Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net. - Risako Tanigawa; Yasunori Ishii; Kazuki Kozuka; Takayoshi Yamashita (CoRR, 2022)

Refine and Represent: Region-to-Object Representation Learning. - Akash Gokul; Konstantinos Kallidromitis; Shufan Li; Yusuke Kato; Kazuki Kozuka; Trevor Darrell; Colorado J. Reed (CoRR, 2022)

Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes. - Shungo Fujii; Yasunori Ishii; Kazuki Kozuka; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CoRR, 2022)

Hierarchical Open-vocabulary Universal Image Segmentation. - Xudong Wang 007; Shufan Li; Konstantinos Kallidromitis; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (NeurIPS, 2023)

Masking and Mixing Adversarial Training. - Hiroki Adachi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Yasunori Ishii; Kazuki Kozuka (VISIGRAPP (4: VISAPP), 2023)

Few-Shot Classification of Interactive Activities of Daily Living (InteractADL). - Zane Durante; Robathan Harries; Edward Vendrow; Zelun Luo; Yuta Kyuragi; Kazuki Kozuka; Li Fei-Fei 001; Ehsan Adeli 001 (BMVC, 2024)

Aligning Diffusion Models by Optimizing Human Utility. - Shufan Li; Konstantinos Kallidromitis; Akash Gokul; Yusuke Kato; Kazuki Kozuka (NeurIPS, 2024)

Wild2Avatar: Rendering Humans Behind Occlusions. - Tiange Xiang; Adam Sun; Scott L. Delp; Kazuki Kozuka; Li Fei-Fei 001; Ehsan Adeli 001 (CoRR, 2024)

SegLLM: Multi-round Reasoning Segmentation. - Xudong Wang 007; Shaolun Zhang; Shufan Li; Konstantinos Kallidromitis; Kehan Li; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (CoRR, 2024)

OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. - Shufan Li; Konstantinos Kallidromitis; Akash Gokul; Zichun Liao; Yusuke Kato; Kazuki Kozuka; Aditya Grover (CVPR, 2025)

SegLLM: Multi-round Reasoning Segmentation with Large Language Models. - Xudong Wang 007; Shaolun Zhang; Shufan Li; Kehan Li; Konstantinos Kallidromitis; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (ICLR, 2025)

Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection. - Shufan Li; Konstantinos Kallidromitis; Akash Gokul; Arsh Koneru; Yusuke Kato; Kazuki Kozuka; Aditya Grover (CoRR, 2025)

VideoMultiAgents: A Multi-Agent Framework for Video Question Answering. - Noriyuki Kugo; Xiang Li; Zixin Li; Ashish Gupta; Arpandeep Khatua; Nidhish Jain; Chaitanya Patel; Yuta Kyuragi; Yasunori Ishii; Masamoto Tanabiki; Kazuki Kozuka; Ehsan Adeli 001 (CoRR, 2025)

LaViDa: A Large Diffusion Language Model for Multimodal Understanding. - Shufan Li; Konstantinos Kallidromitis; Hritik Bansal; Akash Gokul; Yusuke Kato; Kazuki Kozuka; Jason Kuen; Zhe Lin; Kai-Wei Chang; Aditya Grover (CoRR, 2025)

UniEgoMotion: A Unified Model for Egocentric Motion Reconstruction, Forecasting, and Generation. - Chaitanya Patel; Hiroki Nakamura; Yuta Kyuragi; Kazuki Kozuka; Juan Carlos Niebles; Ehsan Adeli 001 (CoRR, 2025)