David Jacobs - RankMe

43 papers A* 14A 2B 2Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Xray-Visual Models: Scaling Vision models on Industry Scale Data. CoRR Shlok Mishra, Tsung-Yu Lin, Linda Wang, Hongli Xu, Yimin Liu, Michael Hsu, Chaitanya Ahuja, Hao Yuan, Jianpeng Cheng, Hong-You Chen, Haoyuan Xu, Chao Li, Abhijeet Awasthi, Jihye Moon, Don Husa, Michael Ge, Sumedha Singla, Arkabandhu Chowdhury, Phong Dingh, Satya Narayan Shukla, Yonghuan Yang, David Jacobs, Qi Guo, Jun Xiao, Xiangjun Fan, Aashu Singh
2025	J	`jnl`	GLOW: Global Illumination-Aware Inverse Rendering of Indoor Scenes Captured with Dynamic Co-Located Light & Camera. CoRR Jiaye Wu, Saeed Hadadan, Geng Lin, Peihan Tu, Matthias Zwicker, David Jacobs, Roni Sengupta
2025	A	`conf`	Multimodal Agentic Model Predictive Control. AAMAS Saptarashmi Bandyopadhyay, John (Jack) Cole, Tom Goldstein, David Jacobs
2025	J	`jnl`	Using Attention Sinks to Identify and Evaluate Dormant Heads in Pretrained LLMs. CoRR Pedro Sandoval Segura, Xijun Wang, Ashwinee Panda, Micah Goldblum, Ronen Basri, Tom Goldstein, David Jacobs
2024	A*	`conf`	CALVIN: Improved Contextual Video Captioning via Instruction Tuning. NeurIPS Gowthami Somepalli, Arkabandhu Chowdhury, Jonas Geiping, Ronen Basri, Tom Goldstein, David Jacobs
2024	J	`jnl`	CinePile: A Long Video Question Answering Dataset and Benchmark. CoRR Ruchit Rawal, Khalid Saifullah, Ronen Basri, David Jacobs, Gowthami Somepalli, Tom Goldstein
2024	A*	`conf`	Rethinking Score Distillation as a Bridge Between Image Distributions. NeurIPS David McAllister, Songwei Ge, Jia-Bin Huang, David Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
2023	A*	`conf`	HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CVPR Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa
2023	J	`jnl`	HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CoRR Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, Rama Chellappa
2023	A*	`conf`	Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CVPR Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs
2023	A*	`conf`	LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation. ICCV Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs
2023	J	`jnl`	LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation. CoRR Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs
2023	B	`conf`	Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation. ICCP Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja, David Jacobs, Soumyadip Sengupta
2023	J	`jnl`	Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation. CoRR Jiaye Wu, Sanjoy Chowdhury, Hariharmano Shanmugaraja, David Jacobs, Soumyadip Sengupta
2023	A*	`conf`	Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. ICCV Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
2023	J	`jnl`	Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. CoRR Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
2022	J	`jnl`	A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. CoRR Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
2022	A*	`conf`	Autoregressive Perturbations for Data Poisoning. NeurIPS Pedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David Jacobs
2022	J	`jnl`	Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CoRR Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs
2022	B	`conf`	Improved Presentation Attack Detection Using Image Decomposition. IJCB Shlok Kumar Mishra, Kuntal Sengupta, Wen-Sheng Chu, Max Horowitz-Gelb, Sofien Bouaziz, David Jacobs
2022	A	`conf`	Learning visual representations for transfer learning by suppressing texture. BMVC Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs
2022	—	`conf`	Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer. ECCV (17) Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh
2022	J	`jnl`	Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer. CoRR Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh
2022	J	`jnl`	Object-aware Cropping for Self-Supervised Learning. Trans. Mach. Learn. Res. Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
2022	A*	`conf`	On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels. NeurIPS Amnon Geifman, Meirav Galun, David Jacobs, Ronen Basri
2022	J	`jnl`	On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels. CoRR Amnon Geifman, Meirav Galun, David Jacobs, Ronen Basri
2022	—	`conf`	Poisons that are learned faster are more effective. CVPR Workshops Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein
2022	J	`jnl`	Poisons that are learned faster are more effective. CoRR Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein
2021	J	`jnl`	Improved Detection of Face Presentation Attacks Using Image Decomposition. CoRR Shlok Kumar Mishra, Kuntal Sengupta, Max Horowitz-Gelb, Wen-Sheng Chu, Sofien Bouaziz, David Jacobs
2021	A*	`conf`	Low Curvature Activations Reduce Overfitting in Adversarial Training. ICCV Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs
2021	J	`jnl`	Low Curvature Activations Reduce Overfitting in Adversarial Training. CoRR Vasu Singla, Sahil Singla, David Jacobs, Soheil Feizi
2021	J	`jnl`	Object-Aware Cropping for Self-Supervised Learning. CoRR Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
2021	A*	`conf`	Robust Contrastive Learning Using Negative Samples with Diminished Semantics. NeurIPS Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs
2021	J	`jnl`	Robust Contrastive Learning Using Negative Samples with Diminished Semantics. CoRR Songwei Ge, Shlok Mishra, Haohan Wang, Chun-Liang Li, David Jacobs
2021	J	`jnl`	Shift Invariance Can Reduce Adversarial Robustness. CoRR Songwei Ge, Vasu Singla, Ronen Basri, David Jacobs
2020	A*	`conf`	SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation. CVPR Koutilya PNVR, Hao Zhou, David Jacobs
2020	J	`jnl`	SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation. CoRR Koutilya PNVR, Hao Zhou, David Jacobs
2019	A*	`conf`	Deep Single-Image Portrait Relighting. ICCV Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, David Jacobs
2019	A*	`conf`	GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition. ICCV Hao Zhou, Xiang Yu, David Jacobs
2013	—	`ch.`	Deformations and Lighting. Shape Perception in Human and Computer Vision David Jacobs, Anne Jorstad, Alain Trouvé
2012	—	`conf`	A Fast Illumination and Deformation Insensitive Image Comparison Algorithm Using Wavelet-Based Geodesics. ECCV (4) Anne Jorstad, David Jacobs, Alain Trouvé
2011	A*	`conf`	A deformation and lighting insensitive metric for face recognition based on dense correspondences. CVPR Anne Jorstad, David Jacobs, Alain Trouvé
2001	—	`conf`	Fragment Completion in Humans and Machines. NIPS David Jacobs, Bas Rokers, Archisman Rudra, Zili Liu