Tom Drummond
27 papers · 2013–2025 · 11 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (58) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Collector
(133)
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Renaissance Researcher
(5)
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Unstoppable · Silver
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Prolific Year · Productive
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Conference Pioneer
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Century Club · Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(14)
Computer Vision
(10)
Learning Types · Machine Learning
(10)
Analysis
(8)
Core Methods
(8)
Artificial Intelligence
(7)
Architectures
(7)
Learning Types · Deep Learning
(7)
Application Areas
(4)
Learning Paradigms
(4)
Models
(4)
Optimization & Theory
(4)
Processing
(4)
Core AI
(3)
Keywords
image generation
(4)
representation learning
(3)
few-shot learning
(3)
semantic segmentation
(3)
depth estimation
(2)
dense retrieval
(2)
neural retrieval
(2)
optical flow
(2)
convolutional neural network
(2)
generative adversarial network
(2)
3d vision
(2)
diffusion model
(2)
object detection
(2)
domain adaptation
(2)
passage retrieval
(2)
transfer learning
(1)
stochastic gradient descent
(1)
contrastive learning
(1)
vision transformer
(1)
metric learning
(1)
Papers
TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model
AAAI 2025
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
NeurIPS 2024
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
EMNLP 2024
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval
EMNLP 2023
Don’t Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion
EACL 2023
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
ACML 2023
Knowledge Combination To Learn Rotated Detection Without Rotated Annotation
CVPR 2023
Noisy Self-Training with Synthetic Queries for Dense Retrieval
EMNLP 2023
Progressive Video Summarization via Multimodal Self-Supervised Learning
WACV 2023
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
AAAI 2022
Implicit Motion Handling for Video Camouflaged Object Detection
CVPR 2022
Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning
ECCV 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
NeurIPS 2022
Rethinking Generalization in Few-Shot Classification
NeurIPS 2022
Driving Among Flatmobiles: Bird-Eye-View Occupancy Grids From a Monocular Camera for Holistic Trajectory Planning
WACV 2021
Improved Training of Generative Adversarial Networks Using Decision Forests
WACV 2021
Hierarchical Neural Architecture Search for Deep Stereo Matching
NeurIPS 2020
Reducing the Sim-to-Real Gap for Event Cameras
ECCV 2020
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
ICCV 2019
Event-Based Motion Segmentation by Motion Compensation
ICCV 2019
LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION
ICLR 2019
Parallel Optimal Transport GAN
CVPR 2019
Efficient Subpixel Refinement With Symbolic Linear Predictors
CVPR 2018
Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation
CoRL 2017
Smart Mining for Deep Metric Learning
ICCV 2017
FANNG: Fast Approximate Nearest Neighbour Graphs
CVPR 2016
A Unified Rolling Shutter and Motion Blur Model for 3D Visual Registration
ICCV 2013