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papers

Publications (40)

cs.LG2023

Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach

Phillip Pope, David Jacobs

cs.LG2019

Understanding the (un)interpretability of natural image distributions using generative models

Ryen Krusinga, Sohil Shah, Matthias Zwicker +2

cs.CV2026

GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering

Jiaye Wu, Saeed Hadadan, Geng Lin +3

cs.CV2018

SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild

Soumyadip Sengupta, Angjoo Kanazawa, Carlos D. Castillo +1

cs.CV2022

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations

Shlok Mishra, Joshua Robinson, Huiwen Chang +4

cs.LG2017

Big Batch SGD: Automated Inference using Adaptive Batch Sizes

Soham De, Abhay Yadav, David Jacobs +1

cs.LG2021

Low Curvature Activations Reduce Overfitting in Adversarial Training

Vasu Singla, Sahil Singla, David Jacobs +1

cs.CL2020

Towards Automatic Generation of Questions from Long Answers

Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma +3

cs.CV2023

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation

Koutilya Pnvr, Bharat Singh, Pallabi Ghosh +2

cs.CV2022

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Songwei Ge, Thomas Hayes, Harry Yang +5

cs.CV2023

Object-Aware Cropping for Self-Supervised Learning

Shlok Mishra, Anshul Shah, Ankan Bansal +5

cs.CV2022

Robust Contrastive Learning Using Negative Samples with Diminished Semantics

Songwei Ge, Shlok Mishra, Haohan Wang +2

cs.CV2016

Biconvex Relaxation for Semidefinite Programming in Computer Vision

Sohil Shah, Abhay Kumar, Carlos Castillo +3

cs.CG2015

A Hyperelastic Two-Scale Optimization Model for Shape Matching

Konrad Simon, Sameer Sheorey, David Jacobs +1

cs.CV2022

Improved Detection of Face Presentation Attacks Using Image Decomposition

Shlok Kumar Mishra, Kuntal Sengupta, Max Horowitz-Gelb +3

cs.CV2026

An Attribute-Based Measure of Video Complexity

Aditya Sarkar, Yi Li, Zihao Wang +6

cs.LG2020

Adversarially robust transfer learning

Ali Shafahi, Parsa Saadatpanah, Chen Zhu +4

cs.NE2016

Efficient Representation of Low-Dimensional Manifolds using Deep Networks

Ronen Basri, David Jacobs

cs.LG2020

Frequency Bias in Neural Networks for Input of Non-Uniform Density

Ronen Basri, Meirav Galun, Amnon Geifman +3

cs.CV2014

Comparing apples to apples in the evaluation of binary coding methods

Mohammad Rastegari, Shobeir Fakhraei, Jonghyun Choi +2

cs.CV2024

CinePile: A Long Video Question Answering Dataset and Benchmark

Ruchit Rawal, Khalid Saifullah, Miquel Farré +4

cs.CV2023

HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions

Anshul Shah, Aniket Roy, Ketul Shah +4

cs.CV2014

Locally Scale-Invariant Convolutional Neural Networks

Angjoo Kanazawa, Abhishek Sharma, David Jacobs

cs.LG2019

The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies

Ronen Basri, David Jacobs, Yoni Kasten +1

cs.LG2022

On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels

Amnon Geifman, Meirav Galun, David Jacobs +1

cs.LG2021

Shift Invariance Can Reduce Adversarial Robustness

Songwei Ge, Vasu Singla, Ronen Basri +1

cs.CV2020

SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation

Koutilya PNVR, Hao Zhou, David Jacobs

cs.LG2018

Stabilizing Adversarial Nets With Prediction Methods

Abhay Yadav, Sohil Shah, Zheng Xu +2

cs.HC2025

dciWebMapper2: Enhancing the dciWebMapper framework toward integrated, interactive visualization of linked multi-type maps, charts, and spatial statistics and analysis

Sarigai Sarigai, Liping Yang, Katie Slack +6

cs.LG2020

On the Similarity between the Laplace and Neural Tangent Kernels

Amnon Geifman, Abhay Yadav, Yoni Kasten +3

cs.CV2026

Xray-Visual Models: Scaling Vision models on Industry Scale Data

Shlok Mishra, Tsung-Yu Lin, Linda Wang +24

cs.AI2021

Maneuver Identification Challenge

Kaira Samuel, Vijay Gadepally, David Jacobs +8

cs.CV2025

GLOW: Global Illumination-Aware Inverse Rendering of Indoor Scenes Captured with Dynamic Co-Located Light & Camera

Jiaye Wu, Saeed Hadadan, Geng Lin +4

cs.CV2017

3D Menagerie: Modeling the 3D shape and pose of animals

Silvia Zuffi, Angjoo Kanazawa, David Jacobs +1

cs.CV2023

Learning Visual Representations for Transfer Learning by Suppressing Texture

Shlok Mishra, Anshul Shah, Ankan Bansal +5

cs.CV2023

Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation

Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja +2

cs.LG2026

Identifying and Evaluating Inactive Heads in Pretrained LLMs

Pedro Sandoval-Segura, Xijun Wang, Ashwinee Panda +4

cs.LG2022

Poisons that are learned faster are more effective

Pedro Sandoval-Segura, Vasu Singla, Liam Fowl +4

cs.CV2024

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models

Songwei Ge, Seungjun Nah, Guilin Liu +7

cs.CV2022

Hyperbolic Contrastive Learning for Visual Representations beyond Objects

Songwei Ge, Shlok Mishra, Simon Kornblith +2