Thanh-Toan Do - RankMe

204 papers A* 26A 13B 5C 2Misc 4Journal 129Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Coverage-Constrained Human-AI Cooperation with Multiple Experts. AAAI Zheng Zhang, Cuong C. Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro
2026	J	`jnl`	Efficient Temporal-aware Matryoshka Adaptation for Temporal Information Retrieval. CoRR Tuan-Luc Huynh, Weiqing Wang, Trung Le, Thuy-Trang Vu, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do
2026	J	`jnl`	Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models. CoRR Dung Anh Hoang, Cuong Pham Anh Trung Le, Jianfei Cai, Thanh-Toan Do
2026	J	`jnl`	Learning to complement with multiple humans. Pattern Recognit. Zheng Zhang, Cuong Nguyen, Kevin Wells, Thanh-Toan Do, Gustavo Carneiro
2026	J	`jnl`	PASS: Peer-agreement based sample selection for training with instance dependent noisy labels. Image Vis. Comput. Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2026	J	`jnl`	Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization. CoRR Haocheng Luo, Zehang Deng, Thanh-Toan Do, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2025	J	`jnl`	AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning. CoRR Arpit Garg, Cuong Nguyen, Rafael Felix, Yuyuan Liu, Thanh-Toan Do, Gustavo Carneiro
2025	J	`jnl`	Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Jianfei Cai, Thanh-Toan Do
2025	J	`jnl`	Broadening Our View: Assistive Technology for Cerebral Visual Impairment. CoRR Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott
2025	J	`jnl`	CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing. CoRR Dinh-Khoi Vo, Thanh-Toan Do, Tam Van Nguyen, Minh-Triet Tran, Trung-Nghia Le
2025	A	`conf`	CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation. WACV Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do
2025	—	`conf`	Can Artificial Intelligence Predict Glycaemic Responses to Food from Food Photographs Using a Mobile App? HIKM Pari Delir Haghighi, Shunhao Li, Yuxin Zhang, Frada Burstein, Thanh-Toan Do, Daphne Flynn, Christopher Gilfillan
2025	A*	`conf`	Enhancing Dataset Distillation via Non-Critical Region Refinement. CVPR Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Q. Phung
2025	J	`jnl`	Enhancing Dataset Distillation via Non-Critical Region Refinement. CoRR Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Phung
2025	J	`jnl`	Few-shot object detection via synthetic features with optimal transport. Comput. Vis. Image Underst. Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen
2025	J	`jnl`	Improving Personalized Image Generation through Social Context Feedback. CoRR Parul Gupta, Abhinav Dhall, Thanh-Toan Do
2025	J	`jnl`	Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Thanh-Toan Do
2025	J	`jnl`	Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. Trans. Mach. Learn. Res. Hoang Anh Dung, Cuong C. Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro
2025	A*	`conf`	MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora. EMNLP Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do
2025	J	`jnl`	MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora. CoRR Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do
2025	A*	`conf`	Multi-Perspective Data Augmentation for Few-shot Object Detection. ICLR Anh-Khoa Nguyen Vu, Quoc-Truong Truong, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V. Nguyen
2025	J	`jnl`	Multi-Perspective Data Augmentation for Few-shot Object Detection. CoRR Anh-Khoa Nguyen Vu, Quoc-Truong Truong, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V. Nguyen
2025	A*	`conf`	Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations. ACM Multimedia Parul Gupta, Shreya Ghosh, Tom Gedeon, Thanh-Toan Do, Abhinav Dhall
2025	J	`jnl`	Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations. CoRR Parul Gupta, Shreya Ghosh, Tom Gedeon, Thanh-Toan Do, Abhinav Dhall
2025	J	`jnl`	Optimizing Specific and Shared Parameters for Efficient Parameter Tuning. CoRR Van-Anh Nguyen, Thanh-Toan Do, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2025	A*	`conf`	Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. CVPR Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Phung
2025	J	`jnl`	Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. CoRR Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Q. Phung
2025	A*	`conf`	Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution. ICLR Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
2025	—	`conf`	PromptDSI: Prompt-Based Rehearsal-Free Continual Learning for Document Retrieval. ECML/PKDD (7) Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do
2025	J	`jnl`	Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models. CoRR Dung Anh Hoang, Cuong Pham, Cuong Nguyen, Trung Le, Jianfei Cai, Thanh-Toan Do
2025	J	`jnl`	RoTipBot: Robotic Handling of Thin and Flexible Objects Using Rotatable Tactile Sensors. IEEE Trans. Robotics Jiaqi Jiang, Xuyang Zhang, Daniel Fernandes Gomes, Thanh-Toan Do, Shan Luo
2025	Misc	`conf`	Self-supervised Learning for Acoustic Few-Shot Classification. ICASSP Jingyong Liang, Bernd Meyer, Issac Ning Lee, Thanh-Toan Do
2025	J	`jnl`	Sharpness-Aware Data Generation for Zero-shot Quantization. CoRR Hoang Anh Dung, Cuong Pham Trung Le, Jianfei Cai, Thanh-Toan Do
2025	J	`jnl`	ShowFlow: From Robust Single Concept to Condition-Free Multi-Concept Generation. CoRR Trong-Vu Hoang, Quang-Binh Nguyen, Thanh-Toan Do, Tam V. Nguyen, Minh-Triet Tran, Trung-Nghia Le
2025	A	`conf`	Smart Glasses for CVI: Co-Designing Extended Reality Solutions to Support Environmental Perception by People with Cerebral Visual Impairment. ASSETS Bhanuka Gamage, Nicola McDowell, Dijana Kovacic, Leona Holloway, Thanh-Toan Do, Arthur James Lowery, Nicholas Price, Kim Marriott
2025	J	`jnl`	Smart Glasses for CVI: Co-Designing Extended Reality Solutions to Support Environmental Perception by People with Cerebral Visual Impairment. CoRR Bhanuka Gamage, Nicola McDowell, Dijana Kovacic, Leona Holloway, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott
2025	J	`jnl`	Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study. CoRR Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott
2025	J	`jnl`	What do Blind and Low-Vision People Really Want from Assistive Smart Devices? Comparison of the Literature with a Focus Study. CoRR Bhanuka Gamage, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott
2025	J	`jnl`	Why Domain Generalization Fail? A View of Necessity and Sufficiency. CoRR Long Tung Vuong, Vy Vo, Hien Dang, Van-Anh Nguyen, Thanh-Toan Do, Mehrtash Harandi, Trung Le, Dinh Q. Phung
2024	J	`jnl`	Agnostic Sharpness-Aware Minimization. CoRR Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Quoc Phung, Trung Le
2024	C	`conf`	An Efficient Lightweight Anomaly Detection for 5G Core Network. ICCE Tran Quang Vinh, Dinh Viet Quan, Thanh-Toan Do, Le Quoc Trung, Truong Thu Huong
2024	—	`conf`	Broadening Our View: Assistive Technology for Cerebral Visual Impairment. CHI Extended Abstracts Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott
2024	—	`conf`	Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models. ACCV (5) Parul Gupta, Munawar Hayat, Abhinav Dhall, Thanh-Toan Do
2024	J	`jnl`	Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models. CoRR Parul Gupta, Munawar Hayat, Abhinav Dhall, Thanh-Toan Do
2024	J	`jnl`	Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le
2024	J	`jnl`	Coverage-Constrained Human-AI Cooperation with Multiple Experts. CoRR Zheng Zhang, Cuong Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro
2024	—	`conf`	DiffAugment: Diffusion Based Long-Tailed Visual Relationship Recognition. ECCV Workshops (20) Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do
2024	J	`jnl`	DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition. CoRR Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do
2024	J	`jnl`	Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging. CoRR Milad Masroor, Tahir Hassan, Yu Tian, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
2024	A	`conf`	Frequency Attention for Knowledge Distillation. WACV Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	Frequency Attention for Knowledge Distillation. CoRR Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2024	—	`conf`	Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. ECCV (4) Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2024	—	`conf`	Learning to Complement and to Defer to Multiple Users. ECCV (56) Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
2024	J	`jnl`	Learning to Complement and to Defer to Multiple Users. CoRR Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
2024	A*	`conf`	MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. AAAI Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran
2024	J	`jnl`	MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2024	—	`conf`	MetaAug: Meta-data Augmentation for Post-training Quantization. ECCV (27) Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2024	J	`jnl`	PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval. CoRR Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do
2024	J	`jnl`	RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors. CoRR Jiaqi Jiang, Xuyang Zhang, Daniel Fernandes Gomes, Thanh-Toan Do, Shan Luo
2024	J	`jnl`	Robotic Perception of Transparent Objects: A Review. IEEE Trans. Artif. Intell. Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo
2024	J	`jnl`	Self-supervised Learning for Acoustic Few-Shot Classification. CoRR Jingyong Liang, Bernd Meyer, Issac Ning Lee, Thanh-Toan Do
2024	A*	`conf`	Sharpness-Aware Data Generation for Zero-shot Quantization. ICML Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do
2024	J	`jnl`	The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation. IEEE Access Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
2024	A	`conf`	Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study. ASSETS Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott
2023	A	`conf`	Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. WACV Cuong Pham, Tuan Hoang, Thanh-Toan Do
2023	J	`jnl`	Few-Shot Object Detection via Synthetic Features with Optimal Transport. CoRR Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen
2023	J	`jnl`	Few-shot Camouflaged Animal Detection and Segmentation. CoRR Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
2023	A*	`conf`	Flat Seeking Bayesian Neural Networks. NeurIPS Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
2023	J	`jnl`	Flat Seeking Bayesian Neural Networks. CoRR Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
2023	A	`conf`	Instance-Dependent Noisy Label Learning via Graphical Modelling. WACV Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2023	J	`jnl`	Instance-Level Few-Shot Learning With Class Hierarchy Mining. IEEE Trans. Image Process. Anh-Khoa Nguyen Vu, Thanh-Toan Do, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Tam V. Nguyen
2023	J	`jnl`	Instance-level Few-shot Learning with Class Hierarchy Mining. CoRR Anh-Khoa Nguyen Vu, Thanh-Toan Do, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Tam V. Nguyen
2023	J	`jnl`	MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. CoRR Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran
2023	A*	`conf`	Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. NeurIPS Van Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2023	J	`jnl`	Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
2023	J	`jnl`	Noisy-label Learning with Sample Selection based on Noise Rate Estimate. CoRR Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2023	A*	`conf`	Optimal Transport Model Distributional Robustness. NeurIPS Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung
2023	J	`jnl`	Optimal Transport Model Distributional Robustness. CoRR Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung
2023	J	`jnl`	PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. IEEE Trans. Pattern Anal. Mach. Intell. Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2023	J	`jnl`	PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. CoRR Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2023	J	`jnl`	Robotic Perception of Transparent Objects: A Review. CoRR Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo
2023	J	`jnl`	Task Weighting in Meta-learning with Trajectory Optimisation. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2023	J	`jnl`	Task Weighting in Meta-learning with Trajectory Optimisation. Trans. Mach. Learn. Res. Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
2023	J	`jnl`	Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2023	J	`jnl`	Unveiling Camouflage: A Learnable Fourier-based Augmentation for Camouflaged Object Detection and Instance Segmentation. CoRR Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do
2023	A	`conf`	What do Blind and Low-Vision People Really Want from Assistive Smart Devices? Comparison of the Literature with a Focus Study. ASSETS Bhanuka Gamage, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott
2022	J	`jnl`	A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation. CoRR Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do, Shan Luo
2022	J	`jnl`	A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation. IEEE Robotics Autom. Lett. Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do, Shan Luo
2022	J	`jnl`	Big data directed acyclic graph model for real-time COVID-19 twitter stream detection. Pattern Recognit. Bakhtiar Amen, Syahirul Faiz, Thanh-Toan Do
2022	J	`jnl`	Camouflaged Instance Segmentation In-the-Wild: Dataset, Method, and Benchmark Suite. IEEE Trans. Image Process. Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Minh-Quan Le, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
2022	J	`jnl`	Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. CoRR Cuong Pham, Tuan Hoang, Thanh-Toan Do
2022	J	`jnl`	Few-shot object detection via baby learning. Image Vis. Comput. Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Khanh-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V. Nguyen
2022	J	`jnl`	Instance-Dependent Noisy Label Learning via Graphical Modelling. CoRR Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
2022	A*	`conf`	Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract). IJCAI Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
2022	J	`jnl`	Vision Transformer Visualization: What Neurons Tell and How Neurons Behave? CoRR Van-Anh Nguyen, Khanh Pham Dinh, Long Tung Vuong, Thanh-Toan Do, Quan Hung Tran, Dinh Q. Phung, Trung Le
2022	J	`jnl`	Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping. CoRR Jiaqi Jiang, Guanqun Cao, Aaron Butterworth, Thanh-Toan Do, Shan Luo
2021	J	`jnl`	Camouflaged Instance Segmentation: Dataset and Benchmark Suite. CoRR Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
2021	J	`jnl`	Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Trans. Pattern Anal. Mach. Intell. Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter
2021	B	`conf`	Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. RuleML+RR Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
2021	J	`jnl`	Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. CoRR Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
2021	J	`jnl`	MirrorNet: Bio-Inspired Camouflaged Object Segmentation. IEEE Access Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen
2021	J	`jnl`	Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. CoRR Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
2021	A	`conf`	Probabilistic task modelling for meta-learning. UAI Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro
2021	J	`jnl`	Probabilistic task modelling for meta-learning. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2021	J	`jnl`	Similarity of Classification Tasks. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2021	J	`jnl`	Visual localization under appearance change: filtering approaches. Neural Comput. Appl. Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid
2020	J	`jnl`	Compact Hash Code Learning With Binary Deep Neural Network. IEEE Trans. Multim. Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Anh-Dzung Doan, Ngai-Man Cheung
2020	A	`conf`	Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. BMVC Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do
2020	J	`jnl`	Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. CoRR Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do
2020	A*	`conf`	Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. IJCAI Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
2020	J	`jnl`	Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. CoRR Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
2020	J	`jnl`	MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation. CoRR Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen
2020	—	`conf`	Multiple Interaction Learning with Question-Type Prior Knowledge for Constraining Answer Search Space in Visual Question Answering. ECCV Workshops (2) Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do
2020	J	`jnl`	Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering. CoRR Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do
2020	J	`jnl`	PAC-Bayesian Meta-learning with Implicit Prior. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2020	A*	`conf`	Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka
2020	B	`conf`	Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. IJCNN Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do
2020	J	`jnl`	Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. CoRR Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do
2020	J	`jnl`	Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. Comput. Vis. Image Underst. Tuan Hoang, Thanh-Toan Do, Huu Le, Dang-Khoa Le Tan, Ngai-Man Cheung
2020	A	`conf`	Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. WACV Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2020	J	`jnl`	Unsupervised Deep Cross-modality Spectral Hashing. CoRR Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
2020	J	`jnl`	Unsupervised Deep Cross-modality Spectral Hashing. IEEE Trans. Image Process. Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
2019	A*	`conf`	A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro
2019	J	`jnl`	A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro
2019	A*	`conf`	Bayesian Generative Active Deep Learning. ICML Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
2019	J	`jnl`	Bayesian Generative Active Deep Learning. CoRR Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
2019	A	`conf`	Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. WACV Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid
2019	A*	`conf`	Compact Trilinear Interaction for Visual Question Answering. ICCV Tuong Do, Huy Tran, Thanh-Toan Do, Erman Tjiputra, Quang D. Tran
2019	J	`jnl`	Compact Trilinear Interaction for Visual Question Answering. CoRR Tuong Do, Thanh-Toan Do, Huy Tran, Erman Tjiputra, Quang D. Tran
2019	J	`jnl`	From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
2019	J	`jnl`	Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. CoRR Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid
2019	—	`conf`	Object Captioning and Retrieval with Natural Language. ICCV Workshops Anh Nguyen, Quang D. Tran, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis
2019	J	`jnl`	On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. IEEE Trans. Image Process. Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Mengxuan Tan, Ngai-Man Cheung
2019	—	`conf`	Overcoming Data Limitation in Medical Visual Question Answering. MICCAI (4) Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran
2019	J	`jnl`	Overcoming Data Limitation in Medical Visual Question Answering. CoRR Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran
2019	—	`conf`	Real-Time 6DOF Pose Relocalization for Event Cameras With Stacked Spatial LSTM Networks. CVPR Workshops Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis
2019	J	`jnl`	SASSE: Scalable and Adaptable 6-DOF Pose Estimation. CoRR Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford
2019	A*	`conf`	SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. CVPR Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
2019	J	`jnl`	SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. CoRR Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
2019	A*	`conf`	Scalable Place Recognition Under Appearance Change for Autonomous Driving. ICCV Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid
2019	J	`jnl`	Scalable Place Recognition Under Appearance Change for Autonomous Driving. CoRR Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid
2019	J	`jnl`	Semantic Prior Analysis for Salient Object Detection. IEEE Trans. Image Process. Tam V. Nguyen, Khanh-Duy Nguyen, Thanh-Toan Do
2019	J	`jnl`	Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. CoRR Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
2019	J	`jnl`	Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. IEEE Trans. Image Process. Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
2019	J	`jnl`	Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. CoRR Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
2019	J	`jnl`	V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation. CoRR Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis
2019	Misc	`conf`	Visual Localization under Appearance Change: A Filtering Approach. DICTA Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid
2018	—	`conf`	A Binary Optimization Approach for Constrained K-Means Clustering. ACCV (4) Huu M. Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford
2018	J	`jnl`	A Binary Optimization Approach for Constrained K-Means Clustering. CoRR Huu Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford
2018	J	`jnl`	Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis. IEEE Trans. Multim. Thanh-Toan Do, Tuan Hoang, Victor Pomponiu, Yiren Zhou, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan
2018	A*	`conf`	AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection. ICRA Thanh-Toan Do, Anh Nguyen, Ian D. Reid
2018	—	`conf`	Bayesian Semantic Instance Segmentation in Open Set World. ECCV (10) Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid
2018	J	`jnl`	Bayesian Semantic Instance Segmentation in Open Set World. CoRR Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid
2018	J	`jnl`	Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention. CoRR Thanh-Toan Do, Dang-Khoa Le Tan, Trung Pham, Tuan Hoang, Ngai-Man Cheung
2018	J	`jnl`	Computation and Memory Efficient Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. Yiren Zhou, Thanh-Toan Do, Haitian Zheng, Ngai-Man Cheung, Lu Fang
2018	J	`jnl`	Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image. CoRR Thanh-Toan Do, Ming Cai, Trung Pham, Ian D. Reid
2018	—	`conf`	DeepVQ: A Deep Network Architecture for Vector Quantization. CVPR Workshops Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung
2018	J	`jnl`	Embedding Based on Function Approximation for Large Scale Image Search. IEEE Trans. Pattern Anal. Mach. Intell. Thanh-Toan Do, Ngai-Man Cheung
2018	J	`jnl`	From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. CoRR Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Ngai-Man Cheung
2018	J	`jnl`	G2D: from GTA to Data. CoRR Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin
2018	J	`jnl`	Improving Chamfer Template Matching Using Image Segmentation. IEEE Signal Process. Lett. Duc Thanh Nguyen, Ngoc-Son Vu, Thanh-Toan Do, Thin Nguyen, John Yearwood
2018	A	`conf`	LieNet: Real-time Monocular Object Instance 6D Pose Estimation. BMVC Thanh-Toan Do, Trung Pham, Ming Cai, Ian Reid
2018	J	`jnl`	MediaEval 2018: Predicting Media Memorability Task. CoRR Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, France Rennes
2018	—	`conf`	MediaEval 2018: Predicting Media Memorability. MediaEval Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do
2018	A	`conf`	Non-smooth M-estimator for Maximum Consensus Estimation. BMVC Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter
2018	J	`jnl`	Object Captioning and Retrieval with Natural Language. CoRR Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis
2018	J	`jnl`	On-device Scalable Image-based Localization. CoRR Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Ngai-Man Cheung
2018	J	`jnl`	Practical Visual Localization for Autonomous Driving: Why Not Filter? CoRR Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid
2018	A*	`conf`	SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. ICRA Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid
2018	J	`jnl`	Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. CoRR Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
2018	B	`conf`	Supervised Hashing with End-to-End Binary Deep Neural Network. ICIP Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung
2017	J	`jnl`	Accessible Melanoma Detection using Smartphones and Mobile Image Analysis. CoRR Thanh-Toan Do, Victor Pomponiu, Yiren Zhou, Tuan Hoang, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan
2017	J	`jnl`	AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection. CoRR Thanh-Toan Do, Anh Nguyen, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis
2017	J	`jnl`	Compact Hash Code Learning with Binary Deep Neural Network. CoRR Thanh-Toan Do, Dang-Khoa Le Tan, Tuan Hoang, Ngai-Man Cheung
2017	J	`jnl`	Enhance Feature Discrimination for Unsupervised Hashing. CoRR Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
2017	B	`conf`	Enhancing feature discrimination for unsupervised hashing. ICIP Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
2017	—	`conf`	MediaEval 2017 Predicting Media Interestingness Task. MediaEval Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Michael Gygli, Ngoc Q. K. Duong
2017	—	`ch.`	Predicting Interestingness of Visual Content. Visual Content Indexing and Retrieval with Psycho-Visual Models Claire-Hélène Demarty, Mats Sjöberg, Mihai Gabriel Constantin, Ngoc Q. K. Duong, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang
2017	J	`jnl`	Real-Time Pose Estimation for Event Cameras with Stacked Spatial LSTM Networks. CoRR Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis
2017	J	`jnl`	SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. CoRR Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid
2017	A*	`conf`	Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
2017	J	`jnl`	Selective Deep Convolutional Features for Image Retrieval. CoRR Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
2017	A*	`conf`	Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search. CVPR Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung
2017	J	`jnl`	Simultaneous Feature Aggregating and Hashing for Large-scale Image Search. CoRR Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung
2017	J	`jnl`	Supervised Hashing with End-to-End Binary Deep Neural Network. CoRR Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung
2016	—	`conf`	Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. ECCV (2) Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung
2016	J	`jnl`	Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. CoRR Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung
2016	J	`jnl`	Embedding based on function approximation for large scale image search. CoRR Thanh-Toan Do, Ngai-Man Cheung
2016	—	`conf`	Image-based vehicle analysis using deep neural network: A systematic study. DSP Yiren Zhou, Hossein Nejati, Thanh-Toan Do, Ngai-Man Cheung, Lynette Cheah
2016	—	`conf`	Learning to Hash with Binary Deep Neural Network. ECCV (5) Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung
2016	J	`jnl`	Learning to Hash with Binary Deep Neural Network. CoRR Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung
2016	—	`conf`	MediaEval 2016 Predicting Media Interestingness Task. MediaEval Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang, Ngoc Q. K. Duong, Frédéric Lefèbvre
2016	J	`jnl`	Smartphone and Mobile Image Processing for Assisted Living: Health-monitoring apps powered by advanced mobile imaging algorithms. IEEE Signal Process. Mag. Hossein Nejati, Victor Pomponiu, Thanh-Toan Do, Yiren Zhou, Sahar Iravani, Ngai-Man Cheung
2015	J	`jnl`	Discrete Hashing with Deep Neural Network. CoRR Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung
2015	A*	`conf`	FAemb: A function approximation-based embedding method for image retrieval. CVPR Thanh-Toan Do, Quang D. Tran, Ngai-Man Cheung
2014	—	`conf`	Early melanoma diagnosis with mobile imaging. EMBC Thanh-Toan Do, Yiren Zhou, Haitian Zheng, Ngai-Man Cheung, Dawn Chin-Ing Koh
2012	Misc	`conf`	Enlarging hacker's toolbox: Deluding image recognition by attacking keypoint orientations. ICASSP Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon
2012	Misc	`conf`	Face recognition using Co-occurrence Histograms of Oriented Gradients. ICASSP Thanh-Toan Do, Ewa Kijak
2012	—	`—`	Security analysis of image copy detection systems based on SIFT descriptors. Thanh-Toan Do
2012	B	`conf`	Security-oriented picture-in-picture visual modifications. ICMR Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon
2010	C	`conf`	Challenging the security of Content-Based Image Retrieval systems. MMSP Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg
2010	—	`conf`	Deluding image recognition in sift-based cbir systems. MiFor@MM Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg
2010	A*	`conf`	Understanding the security and robustness of SIFT. ACM Multimedia Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg