Tom Drummond
27 papers · 2013–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (11) π Cross-Pollinator (14)
π
Conference Polyglot
(11)
π
Academic Marathon
(12)
π£
Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(128)
π
Conference Pioneer
π
Century Club
(27)
π₯
Unstoppable
(10)
π
Trend Setter
β‘
Prolific Year
(5)
Conferences
CVPR (5)
ICCV (4)
NIPS (4)
EMNLP (3)
WACV (3)
AAAI (2)
ECCV (2)
ACML (1)
CORL (1)
EACL (1)
ICLR (1)
Top co-authors
Keywords
image generation
(4)
semantic segmentation
(3)
few-shot learning
(3)
passage retrieval
(2)
representation learning
(2)
depth estimation
(2)
object detection
(2)
optical flow
(2)
generative adversarial network
(2)
neural retrieval
(2)
3d vision
(2)
convolutional neural network
(2)
dense retrieval
(2)
domain adaptation
(2)
transfer learning
(1)
stochastic gradient descent
(1)
contrastive learning
(1)
vision transformer
(1)
metric learning
(1)
image classification
(1)
Papers
TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model
AAAI 2025
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
NIPS 2024
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
EMNLP 2024
Progressive Video Summarization via Multimodal Self-Supervised Learning
WACV 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
Donβt Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion
EACL 2023
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval
EMNLP 2023
Noisy Self-Training with Synthetic Queries for Dense Retrieval
EMNLP 2023
Adaptive PoincarΓ© 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
Rethinking Generalization in Few-Shot Classification
NIPS 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
NIPS 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
Reducing the Sim-to-Real Gap for Event Cameras
ECCV 2020
Hierarchical Neural Architecture Search for Deep Stereo Matching
NIPS 2020
Parallel Optimal Transport GAN
CVPR 2019
Event-Based Motion Segmentation by Motion Compensation
ICCV 2019
LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION
ICLR 2019
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
ICCV 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