conftrace_

Andrew Markham

35 papers · 2017–2025 · 12 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🏃 Academic Marathon (8) 🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (12) 🏃 Academic Marathon (8) 🤝 Dynamic Duo (30) 🔬 Deep Specialist (16) 🏆 Keyword Champion (2) 🗃️ Keyword Collector (173) 🚀 Conference Pioneer Prolific Year (10) 🔥 Unstoppable (9) 💎 Century Club (35)

Conferences

CVPR (8) NIPS (5) AAAI (4) ICCV (4) ECCV (3) WACV (3) ICML (2) INTERSPEECH (2) AISTATS (1) CORL (1) EMNLP (1) IJCAI (1)

Research topics

Papers

SoundLoc3D: Invisible 3D Sound Source Localization and Classification using a Multimodal RGB-D Acoustic Camera WACV 2025 DiffRefine: Diffusion-based Proposal Specific Point Cloud Densification for Cross-Domain Object Detection ICCV 2025 RiTTA: Modeling Event Relations in Text-to-Audio Generation EMNLP 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 SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network AAAI 2024 Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation CVPR 2024 ZeST: Zero-Shot Material Transfer from a Single Image ECCV 2024 Deep Neural Room Acoustics Primitive ICML 2024 Pre-training Feature Guided Diffusion Model for Speech Enhancement INTERSPEECH 2024 Sound3DVDet: 3D Sound Source Detection Using Multiview Microphone Array and RGB Images WACV 2024 Beyond Fusion: Modality Hallucination-Based Multispectral Fusion for Pedestrian Detection WACV 2024 SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks AISTATS 2023 DynPoint: Dynamic Neural Point For View Synthesis NIPS 2023 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 SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds ECCV 2022 No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces CVPR 2022 Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds ECCV 2022 SoundDoA: Learn Sound Source Direction of Arrival and Semantics from Sound Raw Waveforms INTERSPEECH 2022 When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation CORL 2022 Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges CVPR 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 SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform ICML 2021 SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration CVPR 2021 RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds CVPR 2020 AtLoc: Attention Guided Camera Localization AAAI 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