David Jacobs

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 25

Top Topics

Gaussian Process

Visual Representations

Image Decomposition

Top Venues

Publications

Jiaye Wu, Saeed Hadadan, Geng Lin, Matthias Zwicker, David Jacobs, Roni Sengupta
GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering. CoRR (2024)
Ruchit Rawal, Khalid Saifullah, Ronen Basri, David Jacobs, Gowthami Somepalli, Tom Goldstein
CinePile: A Long Video Question Answering Dataset and Benchmark. CoRR (2024)
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. CoRR (2023)
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. ICCV (2023)
Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CVPR (2023)
Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, Rama Chellappa
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CoRR (2023)
Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation. ICCV (2023)
Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja, David Jacobs, Soumyadip Sengupta
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation. CoRR (2023)
Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs
Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CVPR (2023)
Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja, David Jacobs, Soumyadip Sengupta
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation. ICCP (2023)
Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation. CoRR (2023)
Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer. ECCV (17) (2022)
Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. CoRR (2022)
Shlok Kumar Mishra, Kuntal Sengupta, Wen-Sheng Chu, Max Horowitz-Gelb, Sofien Bouaziz, David Jacobs
Improved Presentation Attack Detection Using Image Decomposition. IJCB (2022)
Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David Jacobs
Autoregressive Perturbations for Data Poisoning. NeurIPS (2022)
Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein
Poisons that are learned faster are more effective. CVPR Workshops (2022)
Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer. CoRR (2022)
Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs
Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CoRR (2022)
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
Object-aware Cropping for Self-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022)
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs
Learning visual representations for transfer learning by suppressing texture. BMVC (2022)
Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein
Poisons that are learned faster are more effective. CoRR (2022)
Amnon Geifman, Meirav Galun, David Jacobs, Ronen Basri
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels. CoRR (2022)
Amnon Geifman, Meirav Galun, David Jacobs, Ronen Basri
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels. NeurIPS (2022)
Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs
Low Curvature Activations Reduce Overfitting in Adversarial Training. ICCV (2021)
Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs
Robust Contrastive Learning Using Negative Samples with Diminished Semantics. NeurIPS (2021)