Shumeet Baluja

DeepMind (United Kingdom) — United Kingdom

Computer Science · Physical Sciences

43h-index12.0kcitations136works0.72yr avg
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Research Topics

Advanced Image and Video Retrieval Techniques(24), Image Retrieval and Classification Techniques(21), Face and Expression Recognition(14), Video Analysis and Summarization(13), Evolutionary Algorithms and Applications(13)

Publications136 total

Evolving Deeper LLM Thinking
arXiv (Cornell University)·2025· 2 citedOpen Access
Making Images from Images: Tightly Constrained Parallel Denoising
Lecture notes in computer science·2025
Making Images from Images: Interleaving Denoising and Transformation
arXiv (Cornell University)·2024Open Access
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion
arXiv (Cornell University)·2023Open Access
The infinite doodler: expanding textures within tightly constrained manifolds
The Visual Computer·2023
Adding Non-Linear Context to Deep Networks
2022 IEEE International Conference on Image Processing (ICIP)·2022
A natural representation of colors with textures
The Visual Computer·2022· 1 cited
Interpretable Actions: Controlling Experts with Understandable Commands
Proceedings of the AAAI Conference on Artificial Intelligence·2021Open Access
Texture for Colors: Natural Representations of Colors Using Variable Bit-Depth Textures
arXiv (Cornell University)·2021Open Access
Contextual Convolution Blocks
2021
Immediate gestalt: shapes, typography and (quite irregular) shape packing
Journal of Mathematics and the Arts·2020· 1 cited
Artificial Neural Network Evolution: Learning to Steer a Land Vehicle
2019
Structure and Performance of Fine-Grain Parallelism in GeneticSearch
2019· 79 cited
Learning to Render Better Image Previews
2019· 3 cited
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference
arXiv (Cornell University)·2019· 3 citedOpen Access
Hiding Images within Images
IEEE Transactions on Pattern Analysis and Machine Intelligence·2019· 281 citedOpen Access
Task-specific color spaces and compression for machine-based object recognition
2019· 3 cited
Neural Image Decompression: Learning to Render Better Image Previews
arXiv (Cornell University)·2018Open Access
Continuous Selection of Optimized Traffic Light Schedules: A Machine Learning Approach
2018· 2 cited
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference
arXiv (Cornell University)·2018· 4 citedOpen Access
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Frequent Co-authors

Henry A. Rowley(11), Takeo Kanade(6), Michele Covell(6), Yushi Jing(5), Maryam Kamvar(5), Scott Davies(4), Rahul Sukthankar(4), Dean Pomerleau(3), Rich Caruana(2), Ian Fischer(2), Vibhu O. Mittal(2), Mehran Sahami(2), Rohan Seth(1), D. Sivakumar(1), Jay Yagnik(1), Shankar Kumar(1), Deepak Ravichandran(1), Mohamed Aly(1), Rich Gossweiler(1), Todd Jochem(1)