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Alireza Fathi
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2020 – today
- 2024
- [c34]Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CVPR 2024: 17313-17322 - [c33]Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
Retrieval-Enhanced Contrastive Vision-Text Models. ICLR 2024 - [c32]Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. ICML 2024 - [i27]Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. CoRR abs/2403.01248 (2024) - [i26]Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CoRR abs/2403.02041 (2024) - 2023
- [j30]Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu:
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. Trans. Mach. Learn. Res. 2023 (2023) - [c31]Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data. CVPR 2023: 19295-19304 - [c30]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR 2023: 23369-23379 - [c29]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. NeurIPS 2023 - [i25]Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu:
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. CoRR abs/2303.06138 (2023) - [i24]Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data. CoRR abs/2304.05173 (2023) - [i23]Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
Retrieval-Enhanced Contrastive Vision-Text Models. CoRR abs/2306.07196 (2023) - [i22]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Models. CoRR abs/2306.08129 (2023) - 2022
- [c28]Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. BMVC 2022: 388 - [c27]Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser:
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CVPR 2022: 12861-12871 - [c26]Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan:
PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map. ECCV (39) 2022: 34-50 - [i21]Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan:
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map. CoRR abs/2204.10435 (2022) - [i20]Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser:
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CoRR abs/2205.04334 (2022) - [i19]Lu Mi, Abhijit Kundu, David A. Ross, Frank Dellaert, Noah Snavely, Alireza Fathi:
im2nerf: Image to Neural Radiance Field in the Wild. CoRR abs/2209.04061 (2022) - [i18]Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. CoRR abs/2210.04485 (2022) - [i17]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CoRR abs/2212.05221 (2022) - 2021
- [j29]S. Farzaneh Hoseini, S. Ali MirMohammadSadeghi, Alireza Fathi, Hamid Reza Mohammadi Daniali:
Adaptive predictive control of a novel shape memory alloy rod actuator. J. Syst. Control. Eng. 235(3) (2021) - 2020
- [c25]Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Nießner:
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation. CVPR 2020: 9028-9037 - [c24]Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. CVPR 2020: 11910-11919 - [c23]Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon:
Pillar-Based Object Detection for Autonomous Driving. ECCV (22) 2020: 18-34 - [c22]Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A. Ross, Thomas A. Funkhouser, Alireza Fathi:
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds. ECCV (18) 2020: 266-282 - [c21]Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David A. Ross, Brian Brewington, Thomas A. Funkhouser, Caroline Pantofaru:
Virtual Multi-view Fusion for 3D Semantic Segmentation. ECCV (24) 2020: 518-535 - [i16]Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Nießner:
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation. CoRR abs/2003.13867 (2020) - [i15]Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes. CoRR abs/2004.01170 (2020) - [i14]Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon:
Pillar-based Object Detection for Autonomous Driving. CoRR abs/2007.10323 (2020) - [i13]Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A. Ross, Thomas A. Funkhouser, Alireza Fathi:
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds. CoRR abs/2007.12392 (2020) - [i12]Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David A. Ross, Brian Brewington, Thomas A. Funkhouser, Caroline Pantofaru:
Virtual Multi-view Fusion for 3D Semantic Segmentation. CoRR abs/2007.13138 (2020) - [i11]Yue Wang, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser, Justin Solomon:
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection. CoRR abs/2009.11859 (2020) - [i10]Michelle Guo, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser:
Object-Centric Neural Scene Rendering. CoRR abs/2012.08503 (2020)
2010 – 2019
- 2019
- [j28]Ahmad Mozaffari, Mahdi Emami, Alireza Fathi:
A comprehensive investigation into the performance, robustness, scalability and convergence of chaos-enhanced evolutionary algorithms with boundary constraints. Artif. Intell. Rev. 52(4): 2319-2380 (2019) - [j27]Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings:
The Devil is in the Decoder: Classification, Regression and GANs. Int. J. Comput. Vis. 127(11-12): 1694-1706 (2019) - [c20]Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa:
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. ICCV Workshops 2019: 4065-4074 - [i9]Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa:
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. CoRR abs/1906.06792 (2019) - 2018
- [c19]Siyang Li, Bryan Seybold, Alexey Vorobyov, Alireza Fathi, Qin Huang, C.-C. Jay Kuo:
Instance Embedding Transfer to Unsupervised Video Object Segmentation. CVPR 2018: 6526-6535 - [c18]Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy:
Tracking Emerges by Colorizing Videos. ECCV (13) 2018: 402-419 - [i8]Siyang Li, Bryan Seybold, Alexey Vorobyov, Alireza Fathi, Qin Huang, C.-C. Jay Kuo:
Instance Embedding Transfer to Unsupervised Video Object Segmentation. CoRR abs/1801.00908 (2018) - [i7]Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy:
Tracking Emerges by Colorizing Videos. CoRR abs/1806.09594 (2018) - 2017
- [j26]Ahmad Mozaffari, Mahdi Emami, Nasser L. Azad, Alireza Fathi:
Comparisons of several variants of continuous quantum-inspired evolutionary algorithms. J. Exp. Theor. Artif. Intell. 29(4): 869-909 (2017) - [j25]Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi:
An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions. Int. J. Mach. Learn. Cybern. 8(3): 955-979 (2017) - [j24]Mohammad Taghi Sabet, Hamid Reza Mohammadi Daniali, Alireza Fathi, Ebrahim Alizadeh:
Experimental analysis of a low-cost dead reckoning navigation system for a land vehicle using a robust AHRS. Robotics Auton. Syst. 95: 37-51 (2017) - [c17]Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari:
The Devil is in the Decoder. BMVC 2017 - [c16]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR 2017: 3296-3297 - [i6]Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy:
Semantic Instance Segmentation via Deep Metric Learning. CoRR abs/1703.10277 (2017) - [i5]Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings:
The Devil is in the Decoder. CoRR abs/1707.05847 (2017) - 2016
- [j23]Mitra Asadi-Eydivand, Mehran Solati-Hashjin, Alireza Fathi, Mobin Padashi, Noor Azuan Abu Osman:
Optimal design of a 3D-printed scaffold using intelligent evolutionary algorithms. Appl. Soft Comput. 39: 36-47 (2016) - [j22]Sayed Mahmood Rabiee, Ahmad Mozaffari, Alireza Fathi:
Investigation of hydroxyapatite dicalcium phosphate scaffold properties using a Lamarckian immune neural network. Int. J. Comput. Appl. Technol. 53(4): 323-335 (2016) - [j21]Ahmad Mozaffari, Nasser L. Azad, Mahdi Emami, Alireza Fathi:
Mixed continuous/binary quantum-inspired learning system with non-negative least square optimisation for automated design of regularised ensemble extreme learning machines. J. Exp. Theor. Artif. Intell. 28(3): 581-606 (2016) - [i4]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR abs/1611.10012 (2016) - 2015
- [j20]Ahmad Mozaffari, Mehdi Emami, Nasser L. Azad, Alireza Fathi:
A Modified SSLPS Algorithm with Logistic Pseudo-Random Sequence Generator for Improving the Performance of Neka Power Plant: A Comparative/Conceptual Analysis. Int. J. Appl. Evol. Comput. 6(1): 1-29 (2015) - [j19]Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi:
Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming. Int. J. Intell. Comput. Cybern. 8(1): 2-27 (2015) - [j18]Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi:
Auto-regressive multiple-valued logic neurons with sequential Chua's oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories. Int. J. Intell. Comput. Cybern. 8(2): 102-138 (2015) - [j17]Ahmad Mozaffari, Alireza Fathi:
An experimentally derived hybrid intelligent tool for analysing and optimising the clad height and melt-pool depth in laser solid freeform fabrication process. J. Exp. Theor. Artif. Intell. 27(2): 227-251 (2015) - [j16]Ahmad Mozaffari, Mahdi Emami, Nasser L. Azad, Alireza Fathi:
On the efficacy of chaos-enhanced heuristic walks with nature-based controllers for robust and accurate intelligent search, part A: an experimental analysis. J. Exp. Theor. Artif. Intell. 27(4): 389-422 (2015) - 2014
- [j15]Alireza Fathi, Ahmad Mozaffari:
Modeling a shape memory alloy actuator using an evolvable recursive black-box and hybrid heuristic algorithms inspired based on the annual migration of salmons in nature. Appl. Soft Comput. 14: 229-251 (2014) - [j14]Ahmad Mozaffari, Moein Mohammadpour, Alireza Fathi, Mofid Gorji-Bandpy:
A Fuzzy Model with Thermodynamic Based Consequents and a Niching Swarm-Based Supervisor to Capture the Uncertainties of Damavand Power System. Int. J. Appl. Metaheuristic Comput. 5(3): 9-22 (2014) - [j13]Alireza Fathi, Ahmad Mozaffari:
TGSR: the great salmon run optimisation algorithm. Int. J. Comput. Appl. Technol. 49(3/4): 192-206 (2014) - [j12]Mohammad Kazem Akhlaghi, Alireza Fathi, Hamidreza Mohamadi Danyali, Mohamad Ali Khesali:
A novel particle swarm optimiser with semi-active congregation and a nature-inspired supervising algorithm. Int. J. Comput. Sci. Eng. 9(5/6): 549-558 (2014) - [j11]Ahmad Mozaffari, Alireza Fathi, Saeed Behzadipour:
An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems. Int. J. Intell. Comput. Cybern. 7(1): 38-78 (2014) - [j10]Ahmad Mozaffari, Nasser Lashgarian Azad, Alireza Fathi:
Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems. Int. J. Intell. Comput. Cybern. 7(4): 346-381 (2014) - [j9]Omid Heidari, Hamid M. Daniali, Alireza Fathi:
Searching for Special Cases of the 6R Serial manipulators using Mutable Smart Bee Optimization Algorithm. Int. J. Robotics Autom. 29(4) (2014) - [j8]Alireza Fathi, Ahmad Mozaffari:
Vector optimization of laser solid freeform fabrication system using a hierarchical mutable smart bee-fuzzy inference system and hybrid NSGA-II/self-organizing map. J. Intell. Manuf. 25(4): 775-795 (2014) - [c15]Steve Mann, Kris M. Kitani, Yong Jae Lee, Michael S. Ryoo, Alireza Fathi:
An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision. CVPR Workshops 2014: 827-832 - [c14]Yuke Zhu, Alireza Fathi, Li Fei-Fei:
Reasoning about Object Affordances in a Knowledge Base Representation. ECCV (2) 2014: 408-424 - [i3]Serena Yeung, Alireza Fathi, Li Fei-Fei:
VideoSET: Video Summary Evaluation through Text. CoRR abs/1406.5824 (2014) - 2013
- [b1]Alireza Fathi:
Learning descriptive models of objects and activities from egocentric video. Georgia Institute of Technology, Atlanta, GA, USA, 2013 - [j7]Ahmad Mozaffari, Alireza Fathi, Amir Khajepour, Ehsan Toyserkani:
Optimal design of laser solid freeform fabrication system and real-time prediction of melt pool geometry using intelligent evolutionary algorithms. Appl. Soft Comput. 13(3): 1505-1519 (2013) - [j6]Ahmad Mozaffari, Ali M. Goudarzi, Alireza Fathi, Pendar Samadian:
Bio-inspired methods for fast and robust arrangement of thermoelectric modulus. Int. J. Bio Inspired Comput. 5(1): 19-34 (2013) - [j5]Alireza Fathi, Ahmad Mozaffari:
Identification of a dynamic model for shape memory alloy actuator using Hammerstein-Wiener gray box and mutable smart bee algorithm. Int. J. Intell. Comput. Cybern. 6(4): 328-357 (2013) - [j4]Ahmad Mozaffari, Abas Ramiar, Alireza Fathi:
Optimal design of classic Atkinson engine with dynamic specific heat using adaptive neuro-fuzzy inference system and mutable smart bee algorithm. Swarm Evol. Comput. 12: 74-91 (2013) - [c13]Alireza Fathi, James M. Rehg:
Modeling Actions through State Changes. CVPR 2013: 2579-2586 - [c12]Yin Li, Alireza Fathi, James M. Rehg:
Learning to Predict Gaze in Egocentric Video. ICCV 2013: 3216-3223 - [i2]Ahmad Mozaffari, Alireza Fathi:
A natural-inspired optimization machine based on the annual migration of salmons in nature. CoRR abs/1312.4078 (2013) - [i1]Ahmad Mozaffari, Alireza Fathi:
An introduction to synchronous self-learning Pareto strategy. CoRR abs/1312.4132 (2013) - 2012
- [j3]Ahmad Mozaffari, Alireza Fathi, Saeed Behzadipour:
The great salmon run: a novel bio-inspired algorithm for artificial system design and optimisation. Int. J. Bio Inspired Comput. 4(5): 286-301 (2012) - [j2]Ahmad Mozaffari, Alireza Fathi:
Identifying the behaviour of laser solid freeform fabrication system using aggregated neural network and the great salmon run optimisation algorithm. Int. J. Bio Inspired Comput. 4(5): 330-343 (2012) - [c11]Alireza Fathi, Jessica K. Hodgins, James M. Rehg:
Social interactions: A first-person perspective. CVPR 2012: 1226-1233 - [c10]Alireza Fathi, Yin Li, James M. Rehg:
Learning to Recognize Daily Actions Using Gaze. ECCV (1) 2012: 314-327 - [c9]Zhefan Ye, Yin Li, Alireza Fathi, Yi Han, Agata Rozga, Gregory D. Abowd, James M. Rehg:
Detecting eye contact using wearable eye-tracking glasses. UbiComp 2012: 699-704 - 2011
- [j1]G. Abbasnejad, Hamid M. Daniali, Alireza Fathi:
Architecture optimization of 4PUS+1PS parallel manipulator. Robotica 29(5): 683-690 (2011) - [c8]Alireza Fathi, Maria-Florina Balcan, Xiaofeng Ren, James M. Rehg:
Combining Self Training and Active Learning for Video Segmentation. BMVC 2011: 1-11 - [c7]Alireza Fathi, Xiaofeng Ren, James M. Rehg:
Learning to recognize objects in egocentric activities. CVPR 2011: 3281-3288 - [c6]Alireza Fathi, Ali Farhadi, James M. Rehg:
Understanding egocentric activities. ICCV 2011: 407-414 - 2010
- [c5]Alireza Fathi, John Krumm:
Detecting Road Intersections from GPS Traces. GIScience 2010: 56-69
2000 – 2009
- 2008
- [c4]Alireza Fathi, Greg Mori:
Action recognition by learning mid-level motion features. CVPR 2008 - [c3]Tamara Smyth, Alireza Fathi:
Voice synthesis usingthe generalized pressure-Controlled valve. ICMC 2008 - 2007
- [c2]Alireza Fathi, Greg Mori:
Human Pose Estimation using Motion Exemplars. ICCV 2007: 1-8 - [c1]Mark S. Drew, Muntaseer Salahuddin, Alireza Fathi:
A Standardized Workflow for Illumination-Invariant Image Extraction. CIC 2007: 36-41
Coauthor Index
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last updated on 2024-10-07 02:36 CEST by the dblp team
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