Ian Reid
73 papers · 2007–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (114) π Conference Polyglot Β· Gold π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(33)
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(14)
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(3)
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Keyword Pioneer
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Dynamic Duo
(20)
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Keyword Trendsetter Combo
(4)
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Renaissance Researcher
(6)
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Unstoppable Β· Silver
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The Questioner
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Prolific Year Β· Prolific
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Keyword Collector
(303)
Venues
Top co-authors
Research topics
Computer Vision
(44)
Machine Learning
(36)
Analysis
(36)
Deep Learning
(31)
Learning Types Β· Deep Learning
(18)
Artificial Intelligence
(17)
Learning Types Β· Machine Learning
(15)
Optimization & Theory Β· Machine Learning
(15)
Core AI
(14)
Architectures
(11)
Core Methods
(11)
Application Areas
(10)
Processing
(10)
Optimization & Theory Β· Deep Learning
(7)
Mathematics & Optimization
(5)
Keywords
semantic segmentation
(12)
convolutional neural network
(8)
neural network
(8)
attention mechanism
(5)
reinforcement learning
(4)
conditional random field
(4)
deep learning
(4)
3d reconstruction
(3)
large language model
(3)
model compression
(3)
representation learning
(3)
data augmentation
(3)
generative adversarial network
(3)
object tracking
(3)
neural architecture search
(3)
visual odometry
(3)
multi-target tracking
(3)
scene understanding
(3)
multimodal learning
(2)
knowledge distillation
(2)
Papers
GeoWorld: Geometric World Models
CVPR 2026
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models
AAAI 2026
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer
CVPR 2025
Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames
CoRL 2025
ObjectReact: Learning Object-Relative Control for Visual Navigation
CoRL 2025
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
ECCV 2024
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
ECCV 2024
JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments
CVPR 2024
Motion Mamba: Efficient and Long Sequence Motion Generation
ECCV 2024
Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation
ICCV 2023
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
CoRL 2023
JRDB-Act: A Large-Scale Dataset for Spatio-Temporal Action, Social Group and Activity Detection
CVPR 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
ICML 2022
EvidentialMix: Learning With Combined Open-Set and Closed-Set Noisy Labels
WACV 2021
ODAM: Object Detection, Association, and Mapping Using Posed RGB Video
ICCV 2021
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging
CVPR 2021
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
ICCV 2021
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing
AAAI 2020
Architecture Search of Dynamic Cells for Semantic Video Segmentation
WACV 2020
FroDO: From Detections to 3D Objects
CVPR 2020
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos
ECCV 2020
NeuRoRA: Neural Robust Rotation Averaging
ECCV 2020
Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation
CVPR 2020
SG-VAE: Scene Grammar Variational Autoencoder to generate new indoor scenes
ECCV 2020
Template-Based Automatic Search of Compact Semantic Segmentation Architectures
WACV 2020
Training Quantized Neural Networks With a Full-Precision Auxiliary Module
CVPR 2020
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
CVPR 2019
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging
CVPR 2019
Bayesian Generative Active Deep Learning
ICML 2019
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
CVPR 2019
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
CVPR 2019
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
CVPR 2019
Scalable Place Recognition Under Appearance Change for Autonomous Driving
ICCV 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
NeurIPS 2019
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
CVPR 2019
TopNet: Structural Point Cloud Decoder
CVPR 2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
NeurIPS 2019
Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning
CVPR 2018
Bayesian Semantic Instance Segmentation in Open Set World
ECCV 2018
Bootstrapping the Performance of Webly Supervised Semantic Segmentation
CVPR 2018
Deep Regression Tracking with Shrinkage Loss
ECCV 2018
Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields
ECCV 2018
Multi-modal Cycle-consistent Generalized Zero-Shot Learning
ECCV 2018
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries
CVPR 2018
Towards Effective Low-Bitwidth Convolutional Neural Networks
CVPR 2018
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction
CVPR 2018
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
CVPR 2018
Visual Question Answering With Memory-Augmented Networks
CVPR 2018
A Bayesian Data Augmentation Approach for Learning Deep Models
NeurIPS 2017
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data
CVPR 2017
DeepSetNet: Predicting Sets With Deep Neural Networks
ICCV 2017
Deep Subspace Clustering Networks
NeurIPS 2017
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur
CVPR 2017
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation
IJCAI 2017
"Maximizing Rigidity" Revisited: A Convex Programming Approach for Generic 3D Shape Reconstruction From Multiple Perspective Views
ICCV 2017
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
CVPR 2017
Smart Mining for Deep Metric Learning
ICCV 2017
Towards Context-Aware Interaction Recognition for Visual Relationship Detection
ICCV 2017
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation
CVPR 2016
Efficient Point Process Inference for Large-Scale Object Detection
CVPR 2016
Fast Training of Triplet-Based Deep Binary Embedding Networks
CVPR 2016
Joint Probabilistic Matching Using m-Best Solutions
CVPR 2016
Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
CVPR 2016
Deeply Learning the Messages in Message Passing Inference
NeurIPS 2015
Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling
ICCV 2015
Joint Probabilistic Data Association Revisited
ICCV 2015
Joint Tracking and Segmentation of Multiple Targets
CVPR 2015
The k-Support Norm and Convex Envelopes of Cardinality and Rank
CVPR 2015
Dense Reconstruction Using 3D Object Shape Priors
CVPR 2013
Efficient 3D Scene Labeling Using Fields of Trees
ICCV 2013
Latent Data Association: Bayesian Model Selection for Multi-target Tracking
ICCV 2013
STAR3D: Simultaneous Tracking and Reconstruction of 3D Objects Using RGB-D Data
ICCV 2013
Mapping Large Loops with a Single Hand-Held Camera
RSS 2007