Peter Vajda

106 papers A* 25A 2B 1C 1Journal 58Unranked 18
YearRankTypeTitle / Venue / Authors
2025 A* conf
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.
ICML
Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen
2025 J jnl
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.
CoRR
Philippe Hansen-Estruch, David Yan, Ching-Yao Chung, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen
2025 A* conf
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity.
CVPR
Hongjie Wang, Chih-Yao Ma, Yen-Cheng Liu, Ji Hou, Tao Xu, Jialiang Wang, Felix Juefei-Xu, Yaqiao Luo, Peizhao Zhang, Tingbo Hou, Peter Vajda, Niraj K. Jha, Xiaoliang Dai
2025 J jnl
MoCha: Towards Movie-Grade Talking Character Synthesis.
CoRR
Cong Wei, Bo Sun, Haoyu Ma, Ji Hou, Felix Juefei-Xu, Zecheng He, Xiaoliang Dai, Luxin Zhang, Kunpeng Li, Tingbo Hou, Animesh Sinha, Peter Vajda, Wenhu Chen
2025 A* conf
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts.
CVPR
Feng Liang, Haoyu Ma, Zecheng He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh Sinha, Peizhao Zhang, Peter Vajda, Diana Marculescu
2025 J jnl
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts.
CoRR
Feng Liang, Haoyu Ma, Zecheng He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh Sinha, Peizhao Zhang, Peter Vajda, Diana Marculescu
2025 J jnl
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models.
CoRR
Xu Ma, Peize Sun, Haoyu Ma, Hao Tang, Chih-Yao Ma, Jialiang Wang, Kunpeng Li, Xiaoliang Dai, Yujun Shi, Xuan Ju, Yushi Hu, Artsiom Sanakoyeu, Felix Juefei-Xu, Ji Hou, Junjiao Tian, Tao Xu, Tingbo Hou, Yen-Cheng Liu, Zecheng He, Zijian He, Matt Feiszli, Peizhao Zhang, Peter Vajda, Sam S. Tsai, Yun Fu
2024 A* conf
AVID: Any-Length Video Inpainting with Diffusion Model.
CVPR
Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu
2024 J jnl
An Investigation on Hardware-Aware Vision Transformer Scaling.
ACM Trans. Embed. Comput. Syst.
Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin
2024 J jnl
Animated Stickers: Bringing Stickers to Life with Video Diffusion.
CoRR
David Yan, Winnie Zhang, Luxin Zhang, Anmol Kalia, Dingkang Wang, Ankit Ramchandani, Miao Liu, Albert Pumarola, Edgar Schönfeld, Elliot Blanchard, Krishna Narni, Yaqiao Luo, Lawrence Chen, Guan Pang, Ali K. Thabet, Peter Vajda, Amy Bearman, Licheng Yu
2024 A* conf
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
CVPR
Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
2024 A* conf
ControlRoom3D: Room Generation Using Semantic Proxy Rooms.
CVPR
Jonas Schult, Sam S. Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou
2024 J jnl
DirectorLLM for Human-Centric Video Generation.
CoRR
Kunpeng Song, Tingbo Hou, Zecheng He, Haoyu Ma, Jialiang Wang, Animesh Sinha, Sam S. Tsai, Yaqiao Luo, Xiaoliang Dai, Li Chen, Xide Xia, Peizhao Zhang, Peter Vajda, Ahmed Elgammal, Felix Juefei-Xu
2024 A* conf
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis.
CVPR
Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
2024 A* conf
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis.
CVPR
Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2024 J jnl
GROWTH-23: An integrated code for inversion of complete Bouguer gravity anomaly or temporal gravity changes.
Comput. Geosci.
Antonio G. Camacho, Peter Vajda, José Fernández
2024 J jnl
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation.
CoRR
Jonas Kohler, Albert Pumarola, Edgar Schönfeld, Artsiom Sanakoyeu, Roshan Sumbaly, Peter Vajda, Ali K. Thabet
2024 J jnl
Imagine yourself: Tuning-Free Personalized Image Generation.
CoRR
Zecheng He, Bo Sun, Felix Juefei-Xu, Haoyu Ma, Ankit Ramchandani, Vincent Cheung, Siddharth Shah, Anmol Kalia, Harihar Subramanyam, Alireza Zareian, Li Chen, Ankit Jain, Ning Zhang, Peizhao Zhang, Roshan Sumbaly, Peter Vajda, Animesh Sinha
2024 J jnl
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity.
CoRR
Hongjie Wang, Chih-Yao Ma, Yen-Cheng Liu, Ji Hou, Tao Xu, Jialiang Wang, Felix Juefei-Xu, Yaqiao Luo, Peizhao Zhang, Tingbo Hou, Peter Vajda, Niraj K. Jha, Xiaoliang Dai
2024 — conf
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering.
3DV
Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin
2024 J jnl
Observation and Local Prediction of the Vertical Gravity Gradient: Review Paper.
IEEE Instrum. Meas. Mag.
Pavol Zahorec, Juraj Papco, Filippo Greco, Peter Vajda, Roman Pasteka, Massimo Cantarero, Daniele Carbone
2024 J jnl
Pixel-Space Post-Training of Latent Diffusion Models.
CoRR
Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix Juefei-Xu, Sam S. Tsai, Peter Vajda, Zijian He, Jialiang Wang
2023 A* conf
A Practical Stereo Depth System for Smart Glasses.
CVPR
Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam S. Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele
2023 J jnl
AVID: Any-Length Video Inpainting with Diffusion Model.
CoRR
Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu
2023 J jnl
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
CoRR
Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
2023 A* conf
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference.
CVPR
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin
2023 J jnl
ControlRoom3D: Room Generation using Semantic Proxy Rooms.
CoRR
Jonas Schult, Sam S. Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou
2023 J jnl
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.
CoRR
Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh
2023 J jnl
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis.
CoRR
Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
2023 J jnl
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis.
CoRR
Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2023 J jnl
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering.
CoRR
Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin
2023 A* conf
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection.
ICCV
Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2023 J jnl
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection.
CoRR
Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2023 A* conf
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
CVPR
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2023 J jnl
Pruning Compact ConvNets for Efficient Inference.
CoRR
Sayan Ghosh, Karthik Prasad, Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Graham Cormode, Peter Vajda
2023 — conf
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
MLSys
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
2022 J jnl
3D-Aware Encoding for Style-based Neural Radiance Fields.
CoRR
Yu-Jhe Li, Tao Xu, Bichen Wu, Ningyuan Zheng, Xiaoliang Dai, Albert Pumarola, Peizhao Zhang, Peter Vajda, Kris Kitani
2022 J jnl
A Practical Stereo Depth System for Smart Glasses.
CoRR
Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam S. Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele
2022 J jnl
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference.
CoRR
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin
2022 A* conf
Cross-Domain Adaptive Teacher for Object Detection.
CVPR
Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
2022 A* conf
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation.
ICLR
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E. Gonzalez, Peter Vajda
2022 — conf
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors.
ECCV Workshops (3)
Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
2022 J jnl
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors.
CoRR
Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
2022 — conf
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models.
ECCV (37)
Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2022 — conf
Open-Set Semi-Supervised Object Detection.
ECCV (30)
Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
2022 J jnl
Open-Set Semi-Supervised Object Detection.
CoRR
Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
2022 J jnl
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
CoRR
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2022 J jnl
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
CoRR
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
2021 J jnl
Cross-Domain Object Detection via Adaptive Self-Training.
CoRR
Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
2021 J jnl
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation.
CoRR
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
2021 — conf
Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation.
CVPR Workshops
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
2021 J jnl
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation.
CoRR
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
2021 A* conf
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining.
CVPR
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
2021 J jnl
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run.
CoRR
Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda
2021 J jnl
Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets.
CoRR
Chenfeng Xu, Shijia Yang, Bohan Zhai, Bichen Wu, Xiangyu Yue, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2021 — conf
Rethinking the Self-Attention in Vision Transformers.
CVPR Workshops
Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim
2021 A* conf
Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation.
CVPR
Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim
2021 A* conf
Unbiased Teacher for Semi-Supervised Object Detection.
ICLR
Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
2021 J jnl
Unbiased Teacher for Semi-Supervised Object Detection.
CoRR
Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
2021 A* conf
Visual Transformers: Where Do Transformers Really Belong in Vision Models?
ICCV
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda
2021 A conf
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module.
IROS
Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2021 J jnl
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module.
CoRR
Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2020 — conf
Deep Space-Time Video Upsampling Networks.
ECCV (10)
Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim
2020 J jnl
Deep Space-Time Video Upsampling Networks.
CoRR
Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim
2020 A* conf
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
CVPR
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez
2020 J jnl
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
CoRR
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez
2020 J jnl
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function.
CoRR
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
2020 J jnl
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge.
CoRR
Bichen Wu, Qing He, Peizhao Zhang, Thilo Köhler, Kurt Keutzer, Peter Vajda
2020 — conf
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild.
ECCV (16)
Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit
2020 J jnl
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild.
CoRR
Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit
2020 J jnl
Learning the Loss Functions in a Discriminative Space for Video Restoration.
CoRR
Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, Seon Joo Kim
2020 — conf
Learning to Generate Grounded Visual Captions Without Localization Supervision.
ECCV (18)
Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira
2020 J jnl
One Shot 3D Photography.
CoRR
Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael F. Cohen
2020 J jnl
One shot 3D photography.
ACM Trans. Graph.
Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael F. Cohen
2020 — conf
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation.
ECCV (28)
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2020 J jnl
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation.
CoRR
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2020 J jnl
Visual Transformers: Token-based Image Representation and Processing for Computer Vision.
CoRR
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda
2019 A* conf
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation.
CVPR
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
2019 A* conf
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries.
ICCV
Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov
2019 J jnl
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries.
CoRR
Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov
2019 A* conf
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.
CVPR
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2019 J jnl
Learning to Generate Grounded Image Captions without Localization Supervision.
CoRR
Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira
2019 A* conf
Machine Learning at Facebook: Understanding Inference at the Edge.
HPCA
Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang
2018 J jnl
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation.
CoRR
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
2018 J jnl
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.
CoRR
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2018 J jnl
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search.
CoRR
Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer
2018 J jnl
Precision Highway for Ultra Low-Precision Quantization.
CoRR
Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda
2018 — conf
Value-Aware Quantization for Training and Inference of Neural Networks.
ECCV (4)
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
2018 J jnl
Value-aware Quantization for Training and Inference of Neural Networks.
CoRR
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
2017 — conf
DSD: Dense-Sparse-Dense Training for Deep Neural Networks.
ICLR (Poster)
Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally
2014 A* conf
Real-time query-by-image video search system.
ACM Multimedia
André F. Araújo, David M. Chen, Peter Vajda, Bernd Girod
2013 — conf
Analysis of visual similarity in news videos with robust and memory-efficient image retrieval.
ICME Workshops
David M. Chen, Peter Vajda, Sam S. Tsai, Maryam Daneshi, Matt C. Yu, Huizhong Chen, André Araújo, Bernd Girod
2013 J jnl
Comparative Study of Trust Modeling for Automatic Landmark Tagging.
IEEE Trans. Inf. Forensics Secur.
Ivan Ivanov, Peter Vajda, Pavel Korshunov, Touradj Ebrahimi
2013 A* conf
EigenNews: a personalized news video delivery platform.
ACM Multimedia
Matt C. Yu, Peter Vajda, David M. Chen, Sam S. Tsai, Maryam Daneshi, André F. Araújo, Huizhong Chen, Bernd Girod
2013 — conf
Eigennews: Generating and delivering personalized news video.
ICME Workshops
Maryam Daneshi, Peter Vajda, David M. Chen, Sam S. Tsai, Matt C. Yu, André F. Araújo, Huizhong Chen, Bernd Girod
2013 — ch.
Geotag Propagation with User Trust Modeling.
Social Media Retrieval
Ivan Ivanov, Peter Vajda, Jong-Seok Lee, Pavel Korshunov, Touradj Ebrahimi
2012 J jnl
Geotag propagation in social networks based on user trust model.
Multim. Tools Appl.
Ivan Ivanov, Peter Vajda, Jong-Seok Lee, Lutz Goldmann, Touradj Ebrahimi
2012 J jnl
In Tags We Trust: Trust modeling in social tagging of multimedia content.
IEEE Signal Process. Mag.
Ivan Ivanov, Peter Vajda, Jong-Seok Lee, Touradj Ebrahimi
2011 J jnl
Epitomize Your Photos.
Int. J. Comput. Games Technol.
Peter Vajda, Ivan Ivanov, Jong-Seok Lee, Touradj Ebrahimi
2011 A conf
Social game epitome versus automatic visual analysis.
ICME
Peter Vajda, Ivan Ivanov, Lutz Goldmann, Touradj Ebrahimi
2010 — conf
3D object duplicate detection for video retrieval.
WIAMIS
Peter Vajda, Ivan Ivanov, Lutz Goldmann, Jong-Seok Lee, Touradj Ebrahimi
2010 — conf
Object-based tag propagation for semi-automatic annotation of images.
Multimedia Information Retrieval
Ivan Ivanov, Peter Vajda, Lutz Goldmann, Jong-Seok Lee, Touradj Ebrahimi
2010 J jnl
Robust Duplicate Detection of 2D and 3D Objects.
Int. J. Multim. Data Eng. Manag.
Peter Vajda, Ivan Ivanov, Lutz Goldmann, Jong-Seok Lee, Touradj Ebrahimi
2009 C conf
Analysis of the Limits of Graph-Based Object Duplicate Detection.
ISM
Peter Vajda, Lutz Goldmann, Touradj Ebrahimi
2009 — conf
Graph-based approach for 3D object duplicate detection.
WIAMIS
Peter Vajda, Frédéric Dufaux, Thien Ha-Minh, Touradj Ebrahimi
2008 B conf
Towards Fully Automatic Image Segmentation Evaluation.
ACIVS
Lutz Goldmann, Tomasz Adamek, Peter Vajda, Mustafa Karaman, Roland Mörzinger, Eric Galmar, Thomas Sikora, Noel E. O'Connor, Thien Ha-Minh, Touradj Ebrahimi, Peter Schallauer, Benoit Huet