Matthew Brown
13 papers · 2013–2024 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (3) π Academic Marathon (11) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (37)
π
Interdisciplinary Bridge
π
Conference Polyglot
(3)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Trend Setter
π
Century Club
(13)
π
Conference Pioneer
ποΈ
Keyword Collector
(58)
Conferences
CVPR (8)
ECCV (4)
NIPS (1)
Top co-authors
Keywords
convolutional neural network
(2)
model compression
(2)
metric learning
(2)
unsupervised learning
(1)
video recognition
(1)
action recognition
(1)
zero-shot learning
(1)
video segmentation
(1)
embedding learning
(1)
motion estimation
(1)
neural architecture search
(1)
knowledge distillation
(1)
multimodal learning
(1)
depth estimation
(1)
video super-resolution
(1)
domain adaptation
(1)
efficient computing
(1)
non-rigid registration
(1)
image correspondence
(1)
image classification
(1)
Papers
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects
ECCV 2024
Module-wise Adaptive Distillation for Multimodality Foundation Models
NIPS 2023
MoViNets: Mobile Video Networks for Efficient Video Recognition
CVPR 2021
Federated Visual Classification with Real-World Data Distribution
ECCV 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective
CVPR 2020
GeLaTO: Generative Latent Textured Objects
ECCV 2020
Frame-Recurrent Video Super-Resolution
CVPR 2018
Learning to Segment via Cut-and-Paste
ECCV 2018
Low-Shot Learning With Imprinted Weights
CVPR 2018
Unsupervised Learning of Depth and Ego-Motion From Video
CVPR 2017
Enhancing Video Summarization via Vision-Language Embedding
CVPR 2017
Learning Similarity Metrics for Dynamic Scene Segmentation
CVPR 2015
Optical Flow Estimation Using Laplacian Mesh Energy
CVPR 2013