Niki Trigoni
31 papers · 2017–2025 · 10 conferences · across top CS/AI conferences
Achievements
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Conferences
CVPR (7)
AAAI (5)
NIPS (5)
ICCV (4)
ECCV (3)
WACV (3)
CORL (1)
ICML (1)
IJCAI (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
point cloud
(7)
neural network
(5)
3d vision
(4)
semantic segmentation
(3)
diffusion model
(3)
3d reconstruction
(3)
3d object detection
(3)
domain adaptation
(3)
variational autoencoder
(2)
scene understanding
(2)
bounding box
(2)
camera localization
(2)
object detection
(2)
multimodal learning
(2)
deep learning
(2)
depth estimation
(2)
visual localization
(2)
attention mechanism
(2)
instance segmentation
(2)
3d localization
(2)
Papers
DiffRefine: Diffusion-based Proposal Specific Point Cloud Densification for Cross-Domain Object Detection
ICCV 2025
SoundLoc3D: Invisible 3D Sound Source Localization and Classification using a Multimodal RGB-D Acoustic Camera
WACV 2025
Learning Continuous 3D Words for Text-to-Image Generation
CVPR 2024
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
NIPS 2024
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors
NIPS 2024
Beyond Fusion: Modality Hallucination-Based Multispectral Fusion for Pedestrian Detection
WACV 2024
Sound3DVDet: 3D Sound Source Detection Using Multiview Microphone Array and RGB Images
WACV 2024
ZeST: Zero-Shot Material Transfer from a Single Image
ECCV 2024
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
CVPR 2024
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network
AAAI 2024
Pre-training Feature Guided Diffusion Model for Speech Enhancement
INTERSPEECH 2024
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets
ICCV 2023
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
NIPS 2023
DynPoint: Dynamic Neural Point For View Synthesis
NIPS 2023
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces
CVPR 2022
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation
CORL 2022
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
AAAI 2022
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds
ECCV 2022
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
ECCV 2022
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
CVPR 2021
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
ICML 2021
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
AAAI 2021
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
ICCV 2021
AtLoc: Attention Guided Camera Localization
AAAI 2020
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
CVPR 2020
Selective Sensor Fusion for Neural Visual-Inertial Odometry
CVPR 2019
Distilling Knowledge From a Deep Pose Regressor Network
ICCV 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
NIPS 2019
MotionTransformer: Transferring Neural Inertial Tracking between Domains
AAAI 2019
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
IJCAI 2018
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
CVPR 2017