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ORCIDPavlo Molchanov 0001
Pavlo O. Molchanov
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- affiliation: Nvidia Corporation, Santa Clara, CA, USA
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Books and Theses
- 2014
[b1]Pavlo O. Molchanov:
Radar target classification by micro-Doppler contributions. University of Tampere, Finland, 2014
Journal Articles
- 2025
- [j6]Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze Dong, Dylan Zhang, Pavlo Molchanov, Tong Zhang:
Entropy-Regularized Process Reward Model. Trans. Mach. Learn. Res. 2025 (2025) - 2023
- [j5]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko
, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging 42(7): 2044-2056 (2023) - 2022
- [j4]Eugene Vorontsov, Pavlo Molchanov, Matej Gazda, Christopher Beckham, Jan Kautz, Samuel Kadoury:
Towards annotation-efficient segmentation via image-to-image translation. Medical Image Anal. 82: 102624 (2022) - 2014
- [j3]Pavlo O. Molchanov, Karen O. Egiazarian, Jaakko Astola, Alexander V. Totsky, Sergey Leshchenko, María-Pilar Jarabo-Amores:
Classification of aircraft using micro-Doppler bicoherence-based features. IEEE Trans. Aerosp. Electron. Syst. 50(2): 1455-1467 (2014) - 2013
- [j2]Pavlo O. Molchanov, Jaakko Astola, Karen O. Egiazarian, Alexander V. Totsky:
Classification of ground moving targets using bicepstrum-based features extracted from Micro-Doppler radar signatures. EURASIP J. Adv. Signal Process. 2013: 61 (2013) - [j1]Evgeniy Belyaev, Pavlo O. Molchanov, Alexey V. Vinel, Yevgeni Koucheryavy:
The Use of Automotive Radars in Video-Based Overtaking Assistance Applications. IEEE Trans. Intell. Transp. Syst. 14(3): 1035-1042 (2013)
Conference and Workshop Papers
- 2025
- [c61]Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu:
NVILA: Efficient Frontier Visual Language Models. CVPR 2025: 4122-4134 - [c60]Baifeng Shi, Boyi Li, Han Cai, Yao Lu, Sifei Liu, Marco Pavone, Jan Kautz, Song Han, Trevor Darrell, Pavlo Molchanov, Hongxu Yin:
Scaling Vision Pre-Training to 4K Resolution. CVPR 2025: 9631-9640 - [c59]Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie A. Harmon, Benjamin Simon, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu:
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CVPR 2025: 14788-14798 - [c58]Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang:
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CVPR 2025: 16336-16345 - [c57]Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov:
RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models. CVPR 2025: 22487-22497 - [c56]Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Celine Lin, Jan Kautz, Pavlo Molchanov:
Hymba: A Hybrid-head Architecture for Small Language Models. ICLR 2025 - [c55]Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov:
LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing. ICLR 2025 - [c54]Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. ICLR 2025 - [c53]Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin:
LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement. ICLR 2025 - [c52]Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, José M. Álvarez:
Advancing Weight and Channel Sparsification with Enhanced Saliency. WACV 2025: 7244-7255 - 2024
- [c51]Muhammed Kocabas, Ye Yuan, Pavlo Molchanov, Yunrong Guo, Michael J. Black, Otmar Hilliges, Jan Kautz, Umar Iqbal:
PACE: Human and Camera Motion Estimation from in-the-wild Videos. 3DV 2024: 397-408 - [c50]Mike Ranzinger, Greg Heinrich, Jan Kautz, Pavlo Molchanov:
AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One. CVPR 2024: 12490-12500 - [c49]Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, Song Han:
VILA: On Pre-training for Visual Language Models. CVPR 2024: 26679-26689 - [c48]De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz:
LITA: Language Instructed Temporal-Localization Assistant. ECCV (64) 2024: 202-218 - [c47]Jiefeng Li, Ye Yuan, Davis Rempe, Haotian Zhang, Pavlo Molchanov, Cewu Lu, Jan Kautz, Umar Iqbal:
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation. ECCV (16) 2024: 426-446 - [c46]Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez:
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. ICLR 2024 - [c45]Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
FasterViT: Fast Vision Transformers with Hierarchical Attention. ICLR 2024 - [c44]Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov:
Flextron: Many-in-One Flexible Large Language Model. ICML 2024 - [c43]Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen:
DoRA: Weight-Decomposed Low-Rank Adaptation. ICML 2024 - [c42]Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang:
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models. NeurIPS 2024 - [c41]Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov:
Compact Language Models via Pruning and Knowledge Distillation. NeurIPS 2024 - [c40]Pavlo Molchanov:
Multi-Antenna Array for All Space Communications. RWS 2024: 134-136 - 2023
- [c39]Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov:
Heterogeneous Continual Learning. CVPR 2023: 15985-15995 - [c38]Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz:
Global Vision Transformer Pruning with Hessian-Aware Saliency. CVPR 2023: 18547-18557 - [c37]Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz, Pavlo Molchanov:
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models. CVPR 2023: 22814-22825 - [c36]Umar Iqbal, Akin Caliskan, Koki Nagano, Sameh Khamis, Pavlo Molchanov, Jan Kautz:
RANA: Relightable Articulated Neural Avatars. ICCV 2023: 23085-23096 - [c35]Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov:
Global Context Vision Transformers. ICML 2023: 12633-12646 - 2022
- [c34]Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung:
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. BMVC 2022: 230 - [c33]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CVPR 2022: 10011-10020 - [c32]Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
A-ViT: Adaptive Tokens for Efficient Vision Transformer. CVPR 2022: 10799-10808 - [c31]Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. CVPR 2022: 11028-11039 - [c30]Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez:
When to Prune? A Policy towards Early Structural Pruning. CVPR 2022: 12237-12246 - [c29]Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
LANA: Latency Aware Network Acceleration. ECCV (12) 2022: 137-156 - [c28]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
Structural Pruning via Latency-Saliency Knapsack. NeurIPS 2022 - 2021
- [c27]Umar Iqbal, Kevin Xie, Yunrong Guo, Jan Kautz, Pavlo Molchanov:
KAMA: 3D Keypoint Aware Body Mesh Articulation. 3DV 2021: 689-699 - [c26]Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox:
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CVPR 2021: 9044-9053 - [c25]Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez:
Optimal Quantization Using Scaled Codebook. CVPR 2021: 12095-12104 - [c24]Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
See Through Gradients: Image Batch Recovery via GradInversion. CVPR 2021: 16337-16346 - [c23]Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh R. Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler:
Optimizing Selective Protection for CNN Resilience. ISSRE 2021: 127-138 - [c22]Akshay Chawla, Hongxu Yin, Pavlo Molchanov, José M. Álvarez:
Data-free Knowledge Distillation for Object Detection. WACV 2021: 3288-3297 - 2020
- [c21]Umar Iqbal, Pavlo Molchanov, Jan Kautz:
Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild. CVPR 2020: 5242-5251 - [c20]Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR 2020: 8712-8721 - [c19]Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, Mingxiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdenek Krnoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim:
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation Under Hand-Object Interaction. ECCV (23) 2020: 85-101 - [c18]Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz:
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints. ECCV (17) 2020: 211-228 - 2019
- [c17]Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz:
SCOPS: Self-Supervised Co-Part Segmentation. CVPR 2019: 869-878 - [c16]Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz:
Importance Estimation for Neural Network Pruning. CVPR 2019: 11264-11272 - [c15]Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz:
Few-Shot Adaptive Gaze Estimation. ICCV 2019: 9367-9376 - 2018
- [c14]Behrooz Mahasseni, Xiaodong Yang, Pavlo Molchanov, Jan Kautz:
Budget-Aware Activity Detection with A Recurrent Policy Network. BMVC 2018: 294 - [c13]Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz:
Improving Landmark Localization With Semi-Supervised Learning. CVPR 2018: 1546-1555 - [c12]Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis A. Argyros, Tae-Kyun Kim:
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. CVPR 2018: 2636-2645 - [c11]Xiaodong Yang, Pavlo Molchanov, Jan Kautz:
Making Convolutional Networks Recurrent for Visual Sequence Learning. CVPR 2018: 6469-6478 - [c10]Umar Iqbal, Pavlo Molchanov, Thomas M. Breuel, Juergen Gall, Jan Kautz:
Hand Pose Estimation via Latent 2.5D Heatmap Regression. ECCV (11) 2018: 125-143 - [c9]Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas M. Breuel, Jan Kautz:
IamNN: Iterative and Adaptive Mobile Neural Network for efficient image classification. ICLR (Workshop) 2018 - 2017
- [c8]Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz:
A Lightweight Approach for On-the-Fly Reflectance Estimation. ICCV 2017: 20-28 - [c7]Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz:
Pruning Convolutional Neural Networks for Resource Efficient Inference. ICLR (Poster) 2017 - 2016
- [c6]Pavlo Molchanov, Xiaodong Yang, Shalini Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz:
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks. CVPR 2016: 4207-4215 - [c5]Shalini Gupta, Pavlo Molchanov, Xiaodong Yang, Kihwan Kim, Stephen Tyree, Jan Kautz:
Towards selecting robust hand gestures for automotive interfaces. Intelligent Vehicles Symposium 2016: 1350-1357 - [c4]Xiaodong Yang, Pavlo Molchanov, Jan Kautz:
Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification. ACM Multimedia 2016: 978-987 - 2015
- [c3]Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Jan Kautz:
Hand gesture recognition with 3D convolutional neural networks. CVPR Workshops 2015: 1-7 - [c2]Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Kari Pulli:
Multi-sensor system for driver's hand-gesture recognition. FG 2015: 1-8 - 2013
- [c1]Pavlo O. Molchanov, Jaakko Astola, Karen O. Egiazarian, Alexander V. Totsky:
On Micro-Doppler Period Estimation. CSCS 2013: 325-330
Informal and Other Publications
- 2025
- [i73]Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, José M. Álvarez:
Advancing Weight and Channel Sparsification with Enhanced Saliency. CoRR abs/2502.03658 (2025) - [i72]Mike Ranzinger, Greg Heinrich, Pavlo Molchanov, Jan Kautz, Bryan Catanzaro, Andrew Tao:
FeatSharp: Your Vision Model Features, Sharper. CoRR abs/2502.16025 (2025) - [i71]Guillaume Quétant, Pavlo Molchanov, Slava Voloshynovskiy:
TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces. CoRR abs/2503.07851 (2025) - [i70]Baifeng Shi, Boyi Li, Han Cai, Yao Lu, Sifei Liu, Marco Pavone, Jan Kautz, Song Han, Trevor Darrell, Pavlo Molchanov, Hongxu Yin:
Scaling Vision Pre-Training to 4K Resolution. CoRR abs/2503.19903 (2025) - [i69]Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan, Marcin Chochowski, Yashaswi Karnati, Raviraj Joshi, Ameya Sunil Mahabaleshwarkar, Zijia Chen, Yoshi Suhara, Oluwatobi Olabiyi, Daniel Korzekwa, Mostofa Patwary, Mohammad Shoeybi, Jan Kautz, Bryan Catanzaro, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov:
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning. CoRR abs/2504.11409 (2025) - [i68]Shizhe Diao, Yu Yang, Yonggan Fu, Xin Dong, Dan Su, Markus Kliegl, Zijia Chen, Peter Belcak, Yoshi Suhara, Hongxu Yin, Mostofa Patwary, Yingyan Lin, Jan Kautz, Pavlo Molchanov:
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training. CoRR abs/2504.13161 (2025) - [i67]Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin:
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement. CoRR abs/2504.16053 (2025) - [i66]Peter Belcak, Greg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov:
Small Language Models are the Future of Agentic AI. CoRR abs/2506.02153 (2025) - [i65]Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang:
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CoRR abs/2506.04174 (2025) - [i64]Peter Belcak, Greg Heinrich, Jan Kautz, Pavlo Molchanov:
Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation. CoRR abs/2506.15702 (2025) - [i63]Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han:
Scaling RL to Long Videos. CoRR abs/2507.07966 (2025) - [i62]Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong:
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training. CoRR abs/2507.12507 (2025) - [i61]Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Lin:
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. CoRR abs/2507.14204 (2025) - 2024
- [i60]Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen:
DoRA: Weight-Decomposed Low-Rank Adaptation. CoRR abs/2402.09353 (2024) - [i59]De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz:
LITA: Language Instructed Temporal-Localization Assistant. CoRR abs/2403.19046 (2024) - [i58]Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin:
X-VILA: Cross-Modality Alignment for Large Language Model. CoRR abs/2405.19335 (2024) - [i57]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez:
Step Out and Seek Around: On Warm-Start Training with Incremental Data. CoRR abs/2406.04484 (2024) - [i56]Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov:
Flextron: Many-in-One Flexible Large Language Model. CoRR abs/2406.10260 (2024) - [i55]Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov:
Compact Language Models via Pruning and Knowledge Distillation. CoRR abs/2407.14679 (2024) - [i54]Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich, Thomas M. Breuel, Jan Kautz, David Krueger, Pavlo Molchanov:
A deeper look at depth pruning of LLMs. CoRR abs/2407.16286 (2024) - [i53]Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin:
VILA2: VILA Augmented VILA. CoRR abs/2407.17453 (2024) - [i52]Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR abs/2408.10188 (2024) - [i51]Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov:
LLM Pruning and Distillation in Practice: The Minitron Approach. CoRR abs/2408.11796 (2024) - [i50]Jiefeng Li, Ye Yuan, Davis Rempe, Haotian Zhang, Pavlo Molchanov, Cewu Lu, Jan Kautz, Umar Iqbal:
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation. CoRR abs/2408.16426 (2024) - [i49]Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang:
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models. CoRR abs/2409.17481 (2024) - [i48]Mike Ranzinger, Jon Barker, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao:
PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation. CoRR abs/2410.01680 (2024) - [i47]Shih-Yang Liu, Huck Yang, Chein-Yi Wang, Nai Chit Fung, Hongxu Yin, Charbel Sakr, Saurav Muralidharan, Kwang-Ting Cheng, Jan Kautz, Yu-Chiang Frank Wang, Pavlo Molchanov, Min-Hung Chen:
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation. CoRR abs/2410.21271 (2024) - [i46]Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu:
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CoRR abs/2411.12915 (2024) - [i45]Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Lin, Jan Kautz, Pavlo Molchanov:
Hymba: A Hybrid-head Architecture for Small Language Models. CoRR abs/2411.13676 (2024) - [i44]Akhiad Bercovich, Tomer Ronen, Talor Abramovich, Nir Ailon, Nave Assaf, Mohammad Dabbah, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Netanel Haber, Ehud Karpas, Roi Koren, Itay Levy, Pavlo Molchanov, Shahar Mor, Zach Moshe, Najeeb Nabwani, Omri Puny, Ran Rubin, Itamar Schen, Ido Shahaf, Oren Tropp, Omer Ullman Argov, Ran Zilberstein, Ran El-Yaniv:
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. CoRR abs/2411.19146 (2024) - [i43]Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu:
NVILA: Efficient Frontier Visual Language Models. CoRR abs/2412.04468 (2024) - [i42]Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov:
RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models. CoRR abs/2412.07679 (2024) - [i41]Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze Dong, Dylan Zhang, Pavlo Molchanov, Tong Zhang:
Entropy-Regularized Process Reward Model. CoRR abs/2412.11006 (2024) - 2023
- [i40]Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz, Pavlo Molchanov:
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models. CoRR abs/2304.00600 (2023) - [i39]Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
FasterViT: Fast Vision Transformers with Hierarchical Attention. CoRR abs/2306.06189 (2023) - [i38]Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov:
Heterogeneous Continual Learning. CoRR abs/2306.08593 (2023) - [i37]Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez:
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. CoRR abs/2306.14306 (2023) - [i36]Muhammed Kocabas, Ye Yuan, Pavlo Molchanov, Yunrong Guo, Michael J. Black, Otmar Hilliges, Jan Kautz, Umar Iqbal:
PACE: Human and Camera Motion Estimation from in-the-wild Videos. CoRR abs/2310.13768 (2023) - [i35]Mike Ranzinger, Greg Heinrich, Jan Kautz, Pavlo Molchanov:
AM-RADIO: Agglomerative Model - Reduce All Domains Into One. CoRR abs/2312.06709 (2023) - [i34]Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han:
VILA: On Pre-training for Visual Language Models. CoRR abs/2312.07533 (2023) - 2022
- [i33]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR abs/2202.06924 (2022) - [i32]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CoRR abs/2203.11894 (2022) - [i31]Amit Raj, Umar Iqbal, Koki Nagano, Sameh Khamis, Pavlo Molchanov, James Hays, Jan Kautz:
DRaCoN - Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars. CoRR abs/2203.15798 (2022) - [i30]Ali Hatamizadeh, Hongxu Yin, Jan Kautz, Pavlo Molchanov:
Global Context Vision Transformers. CoRR abs/2206.09959 (2022) - [i29]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
Structural Pruning via Latency-Saliency Knapsack. CoRR abs/2210.06659 (2022) - [i28]Umar Iqbal, Akin Caliskan, Koki Nagano, Sameh Khamis, Pavlo Molchanov, Jan Kautz:
RANA: Relightable Articulated Neural Avatars. CoRR abs/2212.03237 (2022) - 2021
- [i27]Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox:
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CoRR abs/2104.04631 (2021) - [i26]Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
See through Gradients: Image Batch Recovery via GradInversion. CoRR abs/2104.07586 (2021) - [i25]Umar Iqbal, Kevin Xie, Yunrong Guo, Jan Kautz, Pavlo Molchanov:
KAMA: 3D Keypoint Aware Body Mesh Articulation. CoRR abs/2104.13502 (2021) - [i24]Adrian Spurr, Pavlo Molchanov, Umar Iqbal, Jan Kautz, Otmar Hilliges:
Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation. CoRR abs/2106.05954 (2021) - [i23]Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. CoRR abs/2107.06304 (2021) - [i22]Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
HANT: Hardware-Aware Network Transformation. CoRR abs/2107.10624 (2021) - [i21]Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz:
NViT: Vision Transformer Compression and Parameter Redistribution. CoRR abs/2110.04869 (2021) - [i20]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
HALP: Hardware-Aware Latency Pruning. CoRR abs/2110.10811 (2021) - [i19]Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez:
When to Prune? A Policy towards Early Structural Pruning. CoRR abs/2110.12007 (2021) - [i18]Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. CoRR abs/2112.01524 (2021) - [i17]Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
AdaViT: Adaptive Tokens for Efficient Vision Transformer. CoRR abs/2112.07658 (2021) - 2020
- [i16]Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh R. Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler:
HarDNN: Feature Map Vulnerability Evaluation in CNNs. CoRR abs/2002.09786 (2020) - [i15]Umar Iqbal, Pavlo Molchanov, Jan Kautz:
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild. CoRR abs/2003.07581 (2020) - [i14]Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz:
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints. CoRR abs/2003.09282 (2020) - [i13]Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, Mingxiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdenek Krnoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim:
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction. CoRR abs/2003.13764 (2020) - 2019
- [i12]Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz:
Boosting segmentation with weak supervision from image-to-image translation. CoRR abs/1904.01636 (2019) - [i11]Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz:
SCOPS: Self-Supervised Co-Part Segmentation. CoRR abs/1905.01298 (2019) - [i10]Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz:
Few-shot Adaptive Gaze Estimation. CoRR abs/1905.01941 (2019) - [i9]Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz:
Importance Estimation for Neural Network Pruning. CoRR abs/1906.10771 (2019) - [i8]Hongxu Yin, Pavlo Molchanov, Zhizhong Li, José M. Álvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR abs/1912.08795 (2019) - 2018
- [i7]Umar Iqbal, Pavlo Molchanov, Thomas M. Breuel, Juergen Gall, Jan Kautz:
Hand Pose Estimation via Latent 2.5D Heatmap Regression. CoRR abs/1804.09534 (2018) - [i6]Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas M. Breuel, Jan Kautz:
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification. CoRR abs/1804.10123 (2018) - 2017
- [i5]Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz:
A Lightweight Approach for On-the-Fly Reflectance Estimation. CoRR abs/1705.07162 (2017) - [i4]Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Joseph Pal, Jan Kautz:
Improving Landmark Localization with Semi-Supervised Learning. CoRR abs/1709.01591 (2017) - [i3]Behrooz Mahasseni, Xiaodong Yang, Pavlo Molchanov, Jan Kautz:
Budget-Aware Activity Detection with A Recurrent Policy Network. CoRR abs/1712.00097 (2017) - [i2]Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis A. Argyros, Tae-Kyun Kim:
3D Hand Pose Estimation: From Current Achievements to Future Goals. CoRR abs/1712.03917 (2017) - 2016
- [i1]Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz:
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. CoRR abs/1611.06440 (2016)
Coauthor Index
[j5] [j4] [c61] [c60] [c57] [c56] [c55] [c54] [c53] [c51] [c50] [c48] [c47] [c45] [c44] [c42] [c41] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c29] [c27] [c26] [c24] [c21] [c20] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i72] [i70] [i69] [i68] [i67] [i64] [i63] [i62] [i61] [i59] [i58] [i56] [i55] [i54] [i52] [i51] [i50] [i49] [i47] [i45] [i43] [i42] [i40] [i39] [i38] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i18] [i17] [i15] [i14] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j5] [c61] [c60] [c59] [c57] [c55] [c54] [c52] [c49] [c48] [c46] [c45] [c44] [c43] [c42] [c39] [c38] [c37] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [c25] [c24] [c22] [c20] [i73] [i70] [i68] [i63] [i60] [i59] [i58] [i57] [i56] [i53] [i52] [i49] [i47] [i46] [i43] [i42] [i40] [i39] [i38] [i37] [i34] [i33] [i32] [i30] [i29] [i26] [i23] [i22] [i21] [i20] [i19] [i17] [i8]
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