Peter Vajda

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 73

Top Topics

Image Generation

Neural Architecture

Diffusion Model

Scene Reconstruction

Top Venues

Publications

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
Animated Stickers: Bringing Stickers to Life with Video Diffusion. CoRR (2024)
Jonas Kohler, Albert Pumarola, Edgar Schönfeld, Artsiom Sanakoyeu, Roshan Sumbaly, Peter Vajda, Ali K. Thabet
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation. CoRR (2024)
Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin
An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Antonio G. Camacho, Peter Vajda, José Fernández
GROWTH-23: An integrated code for inversion of complete Bouguer gravity anomaly or temporal gravity changes. Comput. Geosci. 182 (2024)
Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. 3DV (2024)
Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. ICCV (2023)
Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CoRR (2023)
Sayan Ghosh, Karthik Prasad, Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Graham Cormode, Peter Vajda
Pruning Compact ConvNets for Efficient Inference. CoRR (2023)
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
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR (2023)
Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CoRR (2023)
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference. CVPR (2023)
Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. CoRR (2023)
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
A Practical Stereo Depth System for Smart Glasses. CVPR (2023)
Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu
AVID: Any-Length Video Inpainting with Diffusion Model. CoRR (2023)
Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. CoRR (2023)
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
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. MLSys (2023)
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
ControlRoom3D: Room Generation using Semantic Proxy Rooms. CoRR (2023)
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
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR (2023)
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CVPR (2023)
Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
Open-Set Semi-Supervised Object Detection. ECCV (30) (2022)
Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. ECCV (37) (2022)
Yu-Jhe Li, Tao Xu, Bichen Wu, Ningyuan Zheng, Xiaoliang Dai, Albert Pumarola, Peizhao Zhang, Peter Vajda, Kris Kitani
3D-Aware Encoding for Style-based Neural Radiance Fields. CoRR (2022)
Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. ECCV Workshops (3) (2022)
Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
Cross-Domain Adaptive Teacher for Object Detection. CVPR (2022)
Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
Open-Set Semi-Supervised Object Detection. CoRR (2022)
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. CoRR (2022)
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E. Gonzalez, Peter Vajda
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation. ICLR (2022)
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
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR (2022)
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CoRR (2022)
Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. CoRR (2022)
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
A Practical Stereo Depth System for Smart Glasses. CoRR (2022)
Chenfeng Xu, Shijia Yang, Bohan Zhai, Bichen Wu, Xiangyu Yue, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets. CoRR (2021)
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation. CVPR Workshops (2021)
Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. CoRR (2021)
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation. CoRR (2021)
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining. CVPR (2021)
Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim
Rethinking the Self-Attention in Vision Transformers. CVPR Workshops (2021)
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda
Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV (2021)
Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim
Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation. CVPR (2021)
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation. CoRR (2021)
Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
Unbiased Teacher for Semi-Supervised Object Detection. CoRR (2021)
Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. IROS (2021)
Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
Unbiased Teacher for Semi-Supervised Object Detection. ICLR (2021)
Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. CoRR (2021)
Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
Cross-Domain Object Detection via Adaptive Self-Training. CoRR (2021)
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
One Shot 3D Photography. CoRR (2020)
Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, Seon Joo Kim
Learning the Loss Functions in a Discriminative Space for Video Restoration. CoRR (2020)
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. CoRR (2020)
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
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CoRR (2020)
Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild. CoRR (2020)
Bichen Wu, Qing He, Peizhao Zhang, Thilo Köhler, Kurt Keutzer, Peter Vajda
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge. CoRR (2020)
Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim
Deep Space-Time Video Upsampling Networks. CoRR (2020)
Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira
Learning to Generate Grounded Visual Captions Without Localization Supervision. ECCV (18) (2020)
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. ECCV (28) (2020)
Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild. ECCV (16) (2020)
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda
Visual Transformers: Token-based Image Representation and Processing for Computer Vision. CoRR (2020)
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function. CoRR (2020)
Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim
Deep Space-Time Video Upsampling Networks. ECCV (10) (2020)
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
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CVPR (2020)
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
One shot 3D photography. ACM Trans. Graph. 39 (4) (2020)
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
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. CVPR (2019)
Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. CoRR (2019)
Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira
Learning to Generate Grounded Image Captions without Localization Supervision. CoRR (2019)
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
Machine Learning at Facebook: Understanding Inference at the Edge. HPCA (2019)
Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. ICCV (2019)
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CVPR (2019)
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
Value-aware Quantization for Training and Inference of Neural Networks. CoRR (2018)
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
Value-Aware Quantization for Training and Inference of Neural Networks. ECCV (4) (2018)
Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda
Precision Highway for Ultra Low-Precision Quantization. CoRR (2018)
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CoRR (2018)
Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search. CoRR (2018)
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
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation. CoRR (2018)
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
DSD: Dense-Sparse-Dense Training for Deep Neural Networks. ICLR (Poster) (2017)
Andre F. de Araújo, David M. Chen, Peter Vajda, Bernd Girod
Real-time query-by-image video search system. ACM Multimedia (2014)
Matt C. Yu, Peter Vajda, David M. Chen, Sam S. Tsai, Maryam Daneshi, Andre F. de Araújo, Huizhong Chen, Bernd Girod
EigenNews: a personalized news video delivery platform. ACM Multimedia (2013)
Maryam Daneshi, Peter Vajda, David M. Chen, Sam S. Tsai, Matt C. Yu, Andre F. de Araújo, Huizhong Chen, Bernd Girod
Eigennews: Generating and delivering personalized news video. ICME Workshops (2013)
David M. Chen, Peter Vajda, Sam S. Tsai, Maryam Daneshi, Matt C. Yu, Huizhong Chen, Andre F. de Araújo, Bernd Girod
Analysis of visual similarity in news videos with robust and memory-efficient image retrieval. ICME Workshops (2013)
Ivan Ivanov, Peter Vajda, Pavel Korshunov, Touradj Ebrahimi
Comparative Study of Trust Modeling for Automatic Landmark Tagging. IEEE Trans. Inf. Forensics Secur. 8 (6) (2013)
Ivan Ivanov, Peter Vajda, Jong-Seok Lee, Touradj Ebrahimi
In Tags We Trust: Trust modeling in social tagging of multimedia content. IEEE Signal Process. Mag. 29 (2) (2012)
Ivan Ivanov, Peter Vajda, Jong-Seok Lee, Lutz Goldmann, Touradj Ebrahimi
Geotag propagation in social networks based on user trust model. Multim. Tools Appl. 56 (1) (2012)
Peter Vajda, Ivan Ivanov, Lutz Goldmann, Touradj Ebrahimi
Social game epitome versus automatic visual analysis. ICME (2011)
Peter Vajda, Ivan Ivanov, Jong-Seok Lee, Touradj Ebrahimi
Epitomize Your Photos. Int. J. Comput. Games Technol. 2011 (2011)
Peter Vajda, Ivan Ivanov, Lutz Goldmann, Jong-Seok Lee, Touradj Ebrahimi
3D object duplicate detection for video retrieval. WIAMIS (2010)
Peter Vajda, Ivan Ivanov, Lutz Goldmann, Jong-Seok Lee, Touradj Ebrahimi
Robust Duplicate Detection of 2D and 3D Objects. Int. J. Multim. Data Eng. Manag. 1 (3) (2010)
Ivan Ivanov, Peter Vajda, Lutz Goldmann, Jong-Seok Lee, Touradj Ebrahimi
Object-based tag propagation for semi-automatic annotation of images. Multimedia Information Retrieval (2010)
Peter Vajda, Frédéric Dufaux, Thien Ha-Minh, Touradj Ebrahimi
Graph-based approach for 3D object duplicate detection. WIAMIS (2009)
Peter Vajda, Lutz Goldmann, Touradj Ebrahimi
Analysis of the Limits of Graph-Based Object Duplicate Detection. ISM (2009)
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
Towards Fully Automatic Image Segmentation Evaluation. ACIVS (2008)