Jacobs, David

23 publications

NeurIPS 2024 CALVIN: Improved Contextual Video Captioning via Instruction Tuning Gowthami Somepalli, Arkabandhu Chowdhury, Ronen Basri, Jonas Geiping, Tom Goldstein, David Jacobs

NeurIPSW 2024 CinePile: A Long Video Question Answering Dataset and Benchmark Ruchit Rawal, Khalid Saifullah, Ronen Basri, David Jacobs, Gowthami Somepalli, Tom Goldstein

CVPR 2023 HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa

CVPR 2023 Hyperbolic Contrastive Learning for Visual Representations Beyond Objects Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs

ICCV 2023 LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation Koutilya Pnvr, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs

ICCV 2023 Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji

NeurIPS 2023 Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach Phillip Pope, David Jacobs

NeurIPS 2022 Autoregressive Perturbations for Data Poisoning Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David Jacobs

ECCV 2022 Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh

TMLR 2022 Object-Aware Cropping for Self-Supervised Learning Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit K Anjaria, Abhyuday Narayan Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan

NeurIPS 2022 On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels Amnon Geifman, Meirav Galun, David Jacobs, Basri Ronen

CVPRW 2022 Poisons That Are Learned Faster Are More Effective Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein

ICCV 2021 Low Curvature Activations Reduce Overfitting in Adversarial Training Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs

NeurIPS 2021 Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs

NeurIPS 2021 Shift Invariance Can Reduce Adversarial Robustness Vasu Singla, Songwei Ge, Basri Ronen, David Jacobs

ICLR 2020 Adversarially Robust Transfer Learning Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David Jacobs, Tom Goldstein

ICML 2020 Frequency Bias in Neural Networks for Input of Non-Uniform Density Ronen Basri, Meirav Galun, Amnon Geifman, David Jacobs, Yoni Kasten, Shira Kritchman

NeurIPS 2020 On the Similarity Between the Laplace and Neural Tangent Kernels Amnon Geifman, Abhay Yadav, Yoni Kasten, Meirav Galun, David Jacobs, Basri Ronen

NeurIPS 2019 The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies Basri Ronen, David Jacobs, Yoni Kasten, Shira Kritchman

ICLR 2018 Stabilizing Adversarial Nets with Prediction Methods Abhay Yadav, Sohil Shah, Zheng Xu, David Jacobs, Tom Goldstein

ECCV 2012 A Fast Illumination and Deformation Insensitive Image Comparison Algorithm Using Wavelet-Based Geodesics Anne Jorstad, David Jacobs, Alain Trouvé

CVPR 2011 A Deformation and Lighting Insensitive Metric for Face Recognition Based on Dense Correspondences Anne Jorstad, David Jacobs, Alain Trouvé

NeurIPS 2001 Fragment Completion in Humans and Machines David Jacobs, Bas Rokers, Archisman Rudra, Zili Liu