Zitnick, C. Lawrence

48 publications

ICML 2025 Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction Xiang Fu, Brandon M Wood, Luis Barroso-Luque, Daniel S. Levine, Meng Gao, Misko Dzamba, C. Lawrence Zitnick

NeurIPS 2025 UMA: A Family of Universal Models for Atoms Brandon M Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R. Kitchin, Daniel S. Levine, Kyle Michel, Anuroop Sriram, Taco Cohen, Abhishek Das, Sushree Jagriti Sahoo, Ammar Rizvi, Zachary Ward Ulissi, C. Lawrence Zitnick

ICLR 2024 Fine-Tuned Language Models Generate Stable Inorganic Materials as Text Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary Ward Ulissi

ICLR 2024 From Molecules to Materials: Pre-Training Large Generalizable Models for Atomic Property Prediction Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary Ward Ulissi, C. Lawrence Zitnick, Brandon M Wood

NeurIPSW 2023 Fine-Tuned Language Models Generate Stable Inorganic Materials as Text Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary Ward Ulissi

ICML 2023 Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Saro Passaro, C. Lawrence Zitnick

TMLR 2022 GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary Ward Ulissi, C. Lawrence Zitnick, Abhishek Das

ICLR 2022 Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations Anuroop Sriram, Abhishek Das, Brandon M Wood, Siddharth Goyal, C. Lawrence Zitnick

CVPR 2017 CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

NeurIPS 2017 ELF: An Extensive, Lightweight and Flexible Research Platform for Real-Time Strategy Games Yuandong Tian, Qucheng Gong, Wenling Shang, Yuxin Wu, C. Lawrence Zitnick

ICCV 2017 Inferring and Executing Programs for Visual Reasoning Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

CVPR 2016 Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross Girshick

CVPR 2016 Seeing Through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross Girshick

ECCV 2016 Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification Ishan Misra, C. Lawrence Zitnick, Martial Hebert

CVPR 2016 We Are Humor Beings: Understanding and Predicting Visual Humor Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh

CVPR 2015 CIDEr: Consensus-Based Image Description Evaluation Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh

CVPR 2015 From Captions to Visual Concepts and Back Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh K. Srivastava, Li Deng, Piotr Dollar, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig

ICCV 2015 Learning Common Sense Through Visual Abstraction Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh

CVPR 2015 Mind's Eye: A Recurrent Visual Representation for Image Caption Generation Xinlei Chen, C. Lawrence Zitnick

ICCV 2015 VQA: Visual Question Answering Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh

NeurIPS 2015 Visalogy: Answering Visual Analogy Questions Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi

WACV 2014 Car Make and Model Recognition Using 3D Curve Alignment Edward Hsiao, Sudipta N. Sinha, Krishnan Ramnath, Simon Baker, C. Lawrence Zitnick, Richard Szeliski

ECCV 2014 Edge Boxes: Locating Object Proposals from Edges C. Lawrence Zitnick, Piotr Dollár

ECCV 2014 Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick

ECCV 2014 Zero-Shot Learning via Visual Abstraction Stanislaw Antol, C. Lawrence Zitnick, Devi Parikh

ECCV 2012 A Memory Efficient Discriminative Approach for Location Aided Recognition Varsha Hedau, Sudipta N. Sinha, C. Lawrence Zitnick, Richard Szeliski

ECCVW 2012 A Memory Efficient Discriminative Approach for Location Aided Recognition Varsha Hedau, Sudipta N. Sinha, C. Lawrence Zitnick, Richard Szeliski

ECCV 2012 Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation Yuandong Tian, C. Lawrence Zitnick, Srinivasa G. Narasimhan

CVPR 2012 Seeing Through the Blur Hossein Mobahi, C. Lawrence Zitnick, Yi Ma

CVPR 2012 The Role of Image Understanding in Contour Detection C. Lawrence Zitnick, Devi Parikh

ICCV 2011 Edge Foci Interest Points C. Lawrence Zitnick, Krishnan Ramnath

CVPR 2011 Finding the Weakest Link in Person Detectors Devi Parikh, C. Lawrence Zitnick

CVPR 2010 A Content-Aware Image Prior Taeg Sang Cho, Neel Joshi, C. Lawrence Zitnick, Sing Bing Kang, Richard Szeliski, William T. Freeman

ECCV 2010 Binary Coherent Edge Descriptors C. Lawrence Zitnick

ECCV 2010 Single Image Deblurring Using Motion Density Functions Ankit Gupta, Neel Joshi, C. Lawrence Zitnick, Michael F. Cohen, Brian Curless

CVPR 2010 The Role of Features, Algorithms and Data in Visual Recognition Devi Parikh, C. Lawrence Zitnick

CVPR 2009 Image Deblurring and Denoising Using Color Priors Neel Joshi, C. Lawrence Zitnick, Richard Szeliski, David J. Kriegman

CVPR 2009 Unsupervised Learning of Hierarchical Spatial Structures in Images Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen

ECCV 2008 Determining Patch Saliency Using Low-Level Context Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen

ECCV 2008 Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems Pravin Bhat, Brian Curless, Michael F. Cohen, C. Lawrence Zitnick

CVPR 2008 From Appearance to Context-Based Recognition: Dense Labeling in Small Images Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen

CVPR 2008 Stereo Reconstruction with Mixed Pixels Using Adaptive Over-Segmentation Yuichi Taguchi, Bennett Wilburn, C. Lawrence Zitnick

CVPR 2006 Escaping Local Minima Through Hierarchical Model Selection: Automatic Object Discovery, Segmentation, and Tracking in Video Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick

CVPR 2006 Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures Vaibhav Vaish, Marc Levoy, Richard Szeliski, C. Lawrence Zitnick, Sing Bing Kang

ECCV 2006 Video and Image Bayesian Demosaicing with a Two Color Image Prior Eric P. Bennett, Matthew Uyttendaele, C. Lawrence Zitnick, Richard Szeliski, Sing Bing Kang

ICCV 2005 Consistent Segmentation for Optical Flow Estimation C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang

UAI 2004 Maximum Entropy for Collaborative Filtering C. Lawrence Zitnick, Takeo Kanade

ICCV 1995 A Multibaseline Stereo System with Active Illumination and Real-Time Image Acquisition Sing Bing Kang, Jon A. Webb, C. Lawrence Zitnick, Takeo Kanade