Trigoni, Niki

34 publications

NeurIPS 2025 COOPERA: Continual Open-Ended Human-Robot Assistance Chenyang Ma, Kai Lu, Ruta Desai, Xavier Puig, Andrew Markham, Niki Trigoni

ICCV 2025 DiffRefine: Diffusion-Based Proposal Specific Point Cloud Densification for Cross-Domain Object Detection Sangyun Shin, Yuhang He, Xinyu Hou, Samuel Hodgson, Andrew Markham, Niki Trigoni

WACV 2025 SoundLoc3D: Invisible 3D Sound Source Localization and Classification Using a Multimodal RGB-D Acoustic Camera Yuhang He, Sangyun Shin, Anoop Cherian, Niki Trigoni, Andrew Markham

NeurIPS 2025 Target Speaker Extraction Through Comparing Noisy Positive and Negative Audio Enrollments Shitong Xu, Yiyuan Yang, Niki Trigoni, Andrew Markham

WACV 2024 Beyond Fusion: Modality Hallucination-Based Multispectral Fusion for Pedestrian Detection Qian Xie, Ta-Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni

CVPR 2024 Learning Continuous 3D Words for Text-to-Image Generation Ta-Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomir Mech, Andrew Markham, Niki Trigoni

WACV 2024 Sound3DVDet: 3D Sound Source Detection Using Multiview Microphone Array and RGB Images Yuhang He, Sangyun Shin, Anoop Cherian, Niki Trigoni, Andrew Markham

AAAI 2024 SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network Yuhang He, Zhuangzhuang Dai, Niki Trigoni, Long Chen, Andrew Markham

NeurIPS 2024 SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models Through Prompting and Interacting 3D Priors Chenyang Ma, Kai Lu, Ta-Ying Cheng, Niki Trigoni, Andrew Markham

CVPR 2024 Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni

NeurIPS 2024 Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection Sangyun Shin, Yuhang He, Madhu Vankadari, Ta-Ying Cheng, Qian Xie, Andrew Markham, Niki Trigoni

ECCV 2024 ZeST: Zero-Shot Material Transfer from a Single Image Ta-Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani

ICCV 2023 3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets Ta-Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Měch, Andrew Markham, Niki Trigoni

NeurIPS 2023 DynPoint: Dynamic Neural Point for View Synthesis Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni

NeurIPS 2023 Multi-Body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation Jia-Xing Zhong, Ta-Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni

ECCV 2022 Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds Ta-Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham

CVPR 2022 No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-Level Space-Time Surfaces Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham

AAAI 2022 Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu

ECCV 2022 SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Aleš Leonardis, Niki Trigoni, Andrew Markham

CoRL 2022 When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation Madhu Vankadari, Stuart Golodetz, Sourav Garg, Sangyun Shin, Andrew Markham, Niki Trigoni

ICCV 2021 P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham

ICML 2021 SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform Yuhang He, Niki Trigoni, Andrew Markham

CVPR 2021 Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham

AAAI 2021 VMLoc: Variational Fusion for Learning-Based Multimodal Camera Localization Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham

AAAI 2020 AtLoc: Attention Guided Camera Localization Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham

NeurIPS 2019 Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni

AAAI 2019 MotionTransformer: Transferring Neural Inertial Tracking Between Domains Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni

ICLRW 2019 WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen Roberts

IJCAI 2018 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham

AAAI 2018 IONet: Learning to Cure the Curse of Drift in Inertial Odometry Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni

CVPRW 2018 Learning 3D Scene Semantics and Structure from a Single Depth Image Bo Yang, Zihang Lai, Xiaoxuan Lu, Shuyu Lin, Hongkai Wen, Andrew Markham, Niki Trigoni

ICCVW 2017 3D Object Reconstruction from a Single Depth View with Adversarial Learning Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni

AAAI 2017 VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni

CVPR 2017 VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-CLIP Relocalization Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen