A Bayesian Approach to Background Modeling. - Oncel Tuzel; Fatih Murat Porikli; Peter Meer (CVPR Workshops, 2005)

Object tracking in low-frame-rate video. - Fatih Porikli; Oncel Tuzel (Electronic Imaging: Image and Video Communications and Processing, 2005)

Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups. - Oncel Tuzel; Raghav Subbarao; Peter Meer (ICCV, 2005)

Multi-Kernel Object Tracking. - Fatih Porikli; Oncel Tuzel (ICME, 2005)

Bayesian background modeling for foreground detection. - Fatih Porikli; Oncel Tuzel (VSSN@MM, 2005)

Covariance Tracking using Model Update Based on Lie Algebra. - Fatih Porikli; Oncel Tuzel; Peter Meer (CVPR (1), 2006)

Region Covariance: A Fast Descriptor for Detection and Classification. - Oncel Tuzel; Fatih Porikli; Peter Meer (ECCV (2), 2006)

Fast Construction of Covariance Matrices for Arbitrary Size Image Windows. - Fatih Porikli; Oncel Tuzel (ICIP, 2006)

Human Detection via Classification on Riemannian Manifolds. - Oncel Tuzel; Fatih Porikli; Peter Meer (CVPR, 2007)

Classification of hematologic malignancies using texton signatures. - Oncel Tuzel; Lin Yang 002; Peter Meer; David J. Foran (Pattern Anal. Appl., 2007)

Learning on lie groups for invariant detection and tracking. - Oncel Tuzel; Fatih Murat Porikli; Peter Meer (CVPR, 2008)

Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph. - Lin Yang 002; Oncel Tuzel; Peter Meer; David J. Foran (MICCAI (1), 2008)

Pedestrian Detection via Classification on Riemannian Manifolds. - Oncel Tuzel; Fatih Porikli; Peter Meer (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Kernel methods for weakly supervised mean shift clustering. - Oncel Tuzel; Fatih Porikli; Peter Meer (ICCV, 2009)

A caGrid-Enabled, Learning Based Image Segmentation Method for Histopathology Specimens. - David J. Foran; Lin Yang 002; Oncel Tuzel; Wenjin Chen; Jun Hu; Tahsin M. Kurç; Renato Ferreira 001; Joel H. Saltz (ISBI, 2009)

PathMiner: A Web-Based Tool for Computer-Assisted Diagnostics in Pathology. - Lin Yang 002; Oncel Tuzel; Wenjin Chen; Peter Meer; Gratian Salaru; Lauri A. Goodell; David J. Foran (IEEE Trans. Inf. Technol. Biomed., 2009)

Fast directional chamfer matching. - Ming-Yu Liu 001; Oncel Tuzel; Ashok Veeraraghavan; Rama Chellappa (CVPR, 2010)

Specular surface reconstruction from sparse reflection correspondences. - Aswin C. Sankaranarayanan; Ashok Veeraraghavan; Oncel Tuzel; Amit K. Agrawal (CVPR, 2010)

P2Pi: A Minimal Solution for Registration of 3D Points to 3D Planes. - Srikumar Ramalingam; Yuichi Taguchi; Tim K. Marks; Oncel Tuzel (ECCV (5), 2010)

Image Invariants for Smooth Reflective Surfaces. - Aswin C. Sankaranarayanan; Ashok Veeraraghavan; Oncel Tuzel; Amit K. Agrawal (ECCV (2), 2010)

Pose estimation in heavy clutter using a multi-flash camera. - Ming-Yu Liu 001; Oncel Tuzel; Ashok Veeraraghavan; Rama Chellappa; Amit K. Agrawal; Haruhisa Okuda (ICRA, 2010)

Entropy rate superpixel segmentation. - Ming-Yu Liu 001; Oncel Tuzel; Srikumar Ramalingam; Rama Chellappa (CVPR, 2011)

Finding a needle in a specular haystack. - Nitesh Shroff; Yuichi Taguchi; Oncel Tuzel; Ashok Veeraraghavan; Srikumar Ramalingam; Haruhisa Okuda (ICRA, 2011)

Compressed Inference for Probabilistic Sequential Models. - Gungor Polatkan; Oncel Tuzel (UAI, 2011)

Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns. - Yuichi Taguchi; Amit K. Agrawal; Oncel Tuzel (ECCV (5), 2012)

Variable focus video: Reconstructing depth and video for dynamic scenes. - Nitesh Shroff; Ashok Veeraraghavan; Yuichi Taguchi; Oncel Tuzel; Amit K. Agrawal; Rama Chellappa (ICCP, 2012)

Voting-based pose estimation for robotic assembly using a 3D sensor. - Changhyun Choi; Yuichi Taguchi; Oncel Tuzel; Ming-Yu Liu 001; Srikumar Ramalingam (ICRA, 2012)

Fast object localization and pose estimation in heavy clutter for robotic bin picking. - Ming-Yu Liu 001; Oncel Tuzel; Ashok Veeraraghavan; Yuichi Taguchi; Tim K. Marks; Rama Chellappa (Int. J. Robotics Res., 2012)

Joint Geodesic Upsampling of Depth Images. - Ming-Yu Liu 001; Oncel Tuzel; Yuichi Taguchi (CVPR, 2013)

Learning to Rank 3D Features. - Oncel Tuzel; Ming-Yu Liu 001; Yuichi Taguchi; Arvind Raghunathan (ECCV (1), 2014)

Recursive Context Propagation Network for Semantic Scene Labeling. - Abhishek Sharma 001; Oncel Tuzel; Ming-Yu Liu 001 (NIPS, 2014)

Detecting 3D geometric boundaries of indoor scenes under varying lighting. - Jie Ni; Tim K. Marks; Oncel Tuzel; Fatih Porikli (WACV, 2014)

Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint. - Ming-Yu Liu 001; Oncel Tuzel; Srikumar Ramalingam; Rama Chellappa (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Semi-Supervised Kernel Mean Shift Clustering. - Saket Anand; Sushil Mittal; Oncel Tuzel; Peter Meer (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Deep hierarchical parsing for semantic segmentation. - Abhishek Sharma 001; Oncel Tuzel; David W. Jacobs (CVPR, 2015)

Layered Interpretation of Street View Images. - Ming-Yu Liu 001; Shuoxin Lin; Srikumar Ramalingam; Oncel Tuzel (Robotics: Science and Systems, 2015)

Efficient Upsampling of Natural Images. - Chinmay Hegde; Oncel Tuzel; Fatih Porikli (CoRR, 2015)

Unsupervised Deep Network Pretraining via Human Design. - Ming-Yu Liu 001; Arun Mallya; Oncel C. Tuzel; Xi Chen (CoRR, 2015)

R-CNN for Small Object Detection. - Chenyi Chen; Ming-Yu Liu 001; Oncel Tuzel; Jianxiong Xiao (ACCV (5), 2016)

A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection. - Bharat Singh; Tim K. Marks; Michael J. Jones 001; Oncel Tuzel; Ming Shao (CVPR, 2016)

Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. - Raviteja Vemulapalli; Oncel Tuzel; Ming-Yu Liu 001 (CVPR, 2016)

Gaussian Conditional Random Field Network for Semantic Segmentation. - Raviteja Vemulapalli; Oncel Tuzel; Ming-Yu Liu 001; Rama Chellappa (CVPR, 2016)

Robust Face Alignment Using a Mixture of Invariant Experts. - Oncel Tuzel; Tim K. Marks; Salil Tambe (ECCV (5), 2016)

High-accuracy user identification using EEG biometrics. - Toshiaki Koike-Akino; Ruhi Mahajan; Tim K. Marks; Ye Wang 001; Shinji Watanabe 001; Oncel Tuzel; Philip V. Orlik (EMBC, 2016)

Coupled Generative Adversarial Networks. - Ming-Yu Liu 001; Oncel Tuzel (NIPS, 2016)

Unsupervised network pretraining via encoding human design. - Ming-Yu Liu 001; Arun Mallya; Oncel Tuzel; Xi Chen (WACV, 2016)

Global-Local Face Upsampling Network. - Oncel Tuzel; Yuichi Taguchi; John R. Hershey (CoRR, 2016)

Learning from Simulated and Unsupervised Images through Adversarial Training. - Ashish Shrivastava 001; Tomas Pfister; Oncel Tuzel; Joshua Susskind; Wenda Wang; Russell Webb (CVPR, 2017)

Attentional Network for Visual Object Detection. - Kota Hara; Ming-Yu Liu 001; Oncel Tuzel; Amir-massoud Farahmand (CoRR, 2017)

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. - Yin Zhou; Oncel Tuzel (CVPR, 2018)

Divide, Denoise, and Defend against Adversarial Attacks. - Seyed-Mohsen Moosavi-Dezfooli; Ashish Shrivastava 001; Oncel Tuzel (CoRR, 2018)

Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training. - Saurabh Adya; Vinay Palakkode; Oncel Tuzel (CoRR, 2018)

Learning Conditional Error Model for Simulated Time-Series Data. - Ashish Shrivastava 001; Oncel Tuzel (CVPR Workshops, 2019)

MVX-Net: Multimodal VoxelNet for 3D Object Detection. - Vishwanath A. Sindagi; Yin Zhou; Oncel Tuzel (ICRA, 2019)

Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum. - Shreyas Saxena; Oncel Tuzel; Dennis DeCoste (NeurIPS, 2019)

Least squares binary quantization of neural networks. - Hadi Pouransari; Zhucheng Tu; Oncel Tuzel (CVPR Workshops, 2020)

Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. - Ting-Yao Hu; Ashish Shrivastava 001; Oncel Tuzel; Chandra Dhir (ICASSP, 2020)

Least squares binary quantization of neural networks. - Hadi Pouransari; Oncel Tuzel (CoRR, 2020)

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. - Hadi Pouransari; Oncel Tuzel (CoRR, 2020)

Subject-Aware Contrastive Learning for Biosignals. - Joseph Y. Cheng; Hanlin Goh; Kaan Dogrusoz; Oncel Tuzel; Erdrin Azemi (CoRR, 2020)

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. - Hadi Pouransari; Mojan Javaheripi; Vinay Sharma; Oncel Tuzel (CVPR Workshops, 2021)

Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling. - Akash Mehra; Jerome R. Bellegarda; Ojas Bapat; Hema Koppula; Jen-Hao Rick Chang; Ashish Shrivastava 001; Oncel Tuzel (EUSIPCO, 2021)

SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. - Ting-Yao Hu; Ashish Shrivastava 001; Jen-Hao Rick Chang; Hema Koppula; Stefan Braun; Kyuyeon Hwang; Ozlem Kalinli; Oncel Tuzel (ICASSP, 2021)

Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. - Ashish Shrivastava 001; Arnav Kundu; Chandra Dhir; Devang Naik; Oncel Tuzel (ICASSP, 2021)

Instance-Level Task Parameters: A Robust Multi-task Weighting Framework. - Pavan Kumar Anasosalu Vasu; Shreyas Saxena; Oncel Tuzel (CoRR, 2021)

Token Pooling in Vision Transformers. - Dmitrii Marin; Jen-Hao Rick Chang; Anurag Ranjan; Anish Prabhu; Mohammad Rastegari; Oncel Tuzel (CoRR, 2021)

Forward Compatible Training for Representation Learning. - Vivek Ramanujan; Pavan Kumar Anasosalu Vasu; Ali Farhadi; Oncel Tuzel; Hadi Pouransari (CoRR, 2021)

Forward Compatible Training for Large-Scale Embedding Retrieval Systems. - Vivek Ramanujan; Pavan Kumar Anasosalu Vasu; Ali Farhadi; Oncel Tuzel; Hadi Pouransari (CVPR, 2022)

NeuMan: Neural Human Radiance Field from a Single Video. - Wei Jiang 034; Kwang Moo Yi; Golnoosh Samei; Oncel Tuzel; Anurag Ranjan (ECCV (32), 2022)

Data Incubation - Synthesizing Missing Data for Handwriting Recognition. - Jen-Hao Rick Chang; Martin Bresler; Youssouf Chherawala; Adrien Delaye; Thomas Deselaers; Ryan S. Dixon; Oncel Tuzel (ICASSP, 2022)

SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. - Ting-Yao Hu; Mohammadreza Armandpour; Ashish Shrivastava 001; Jen-Hao Rick Chang; Hema Koppula; Oncel Tuzel (ICASSP, 2022)

Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. - Jen-Hao Rick Chang; Ashish Shrivastava 001; Hema Koppula; Xiaoshuai Zhang; Oncel Tuzel (ICML, 2022)

An Improved One millisecond Mobile Backbone. - Pavan Kumar Anasosalu Vasu; James Gabriel; Jeff Zhu; Oncel Tuzel; Anurag Ranjan (CoRR, 2022)

APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations. - Elan Rosenfeld; Preetum Nakkiran; Hadi Pouransari; Oncel Tuzel; Fartash Faghri (CoRR, 2022)

I see what you hear: a vision-inspired method to localize words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Minsik Cho; Aman Chadha; Ashish Shrivastava 001; Oncel Tuzel; Devang Naik (CoRR, 2022)

RangeAugment: Efficient Online Augmentation with Range Learning. - Sachin Mehta; Saeid Naderiparizi; Fartash Faghri; Maxwell Horton; Lailin Chen; Ali Farhadi; Oncel Tuzel; Mohammad Rastegari (CoRR, 2022)

Pointersect: Neural Rendering with Cloud-Ray Intersection. - Jen-Hao Rick Chang; Wei-Yu Chen; Anurag Ranjan; Kwang Moo Yi; Oncel Tuzel (CVPR, 2023)

FaceLit: Neural 3D Relightable Faces. - Anurag Ranjan; Kwang Moo Yi; Jen-Hao Rick Chang; Oncel Tuzel (CVPR, 2023)

MobileOne: An Improved One millisecond Mobile Backbone. - Pavan Kumar Anasosalu Vasu; James Gabriel; Jeff Zhu; Oncel Tuzel; Anurag Ranjan (CVPR, 2023)

I See What You Hear: A Vision-Inspired Method to Localize Words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Aman Chadha; Ashish Srivastava; Minsik Cho; Oncel Tuzel; Devang Naik (ICASSP, 2023)

Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis. - Karren D. Yang; Ting-Yao Hu; Jen-Hao Rick Chang; Hema Swetha Koppula; Oncel Tuzel (ICASSP, 2023)

Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. - Fartash Faghri; Hadi Pouransari; Sachin Mehta; Mehrdad Farajtabar; Ali Farhadi; Mohammad Rastegari; Oncel Tuzel (ICCV, 2023)

FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. - Pavan Kumar Anasosalu Vasu; James Gabriel; Jeff Zhu; Oncel Tuzel; Anurag Ranjan (ICCV, 2023)

FastFill: Efficient Compatible Model Update. - Florian Jaeckle; Fartash Faghri; Ali Farhadi; Oncel Tuzel; Hadi Pouransari (ICLR, 2023)

Token Pooling in Vision Transformers for Image Classification. - Dmitrii Marin; Jen-Hao Rick Chang; Anurag Ranjan; Anish Prabhu; Mohammad Rastegari; Oncel Tuzel (WACV, 2023)

VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON. - Haoping Bai; Shancong Mou; Tatiana Likhomanenko; Ramazan Gokberk Cinbis; Oncel Tuzel; Ping Huang; Jiulong Shan; Jianjun Shi 001; Meng Cao (CoRR, 2023)

Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. - Raviteja Vemulapalli; Hadi Pouransari; Fartash Faghri; Sachin Mehta; Mehrdad Farajtabar; Mohammad Rastegari; Oncel Tuzel (CoRR, 2023)

Weight subcloning: direct initialization of transformers using larger pretrained ones. - Mohammad Samragh; Mehrdad Farajtabar; Sachin Mehta; Raviteja Vemulapalli; Fartash Faghri; Devang Naik; Oncel Tuzel; Mohammad Rastegari (CoRR, 2023)

HUGS: Human Gaussian Splats. - Muhammed Kocabas; Jen-Hao Rick Chang; James Gabriel; Oncel Tuzel; Anurag Ranjan (CVPR, 2024)

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. - Pavan Kumar Anasosalu Vasu; Hadi Pouransari; Fartash Faghri; Raviteja Vemulapalli; Oncel Tuzel (CVPR, 2024)

SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. - Haoxiang Wang 003; Pavan Kumar Anasosalu Vasu; Fartash Faghri; Raviteja Vemulapalli; Mehrdad Farajtabar; Sachin Mehta; Mohammad Rastegari; Oncel Tuzel; Hadi Pouransari (CVPR Workshops, 2024)

Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. - Karren D. Yang; Anurag Ranjan; Jen-Hao Rick Chang; Raviteja Vemulapalli; Oncel Tuzel (CVPR, 2024)

MUSCLE: A Model Update Strategy for Compatible LLM Evolution. - Jessica Maria Echterhoff; Fartash Faghri; Raviteja Vemulapalli; Ting-Yao Hu; Chun-Liang Li; Oncel Tuzel; Hadi Pouransari (EMNLP (Findings), 2024)

Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. - Hsuan Su; Ting-Yao Hu; Hema Swetha Koppula; Raviteja Vemulapalli; Jen-Hao Rick Chang; Karren D. Yang; Gautam Varma Mantena; Oncel Tuzel (ICASSP, 2024)

TiC-CLIP: Continual Training of CLIP Models. - Saurabh Garg; Mehrdad Farajtabar; Hadi Pouransari; Raviteja Vemulapalli; Sachin Mehta; Oncel Tuzel; Vaishaal Shankar; Fartash Faghri (ICLR, 2024)

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. - Iman Mirzadeh; Keivan Alizadeh-Vahid; Sachin Mehta; Carlo C. del Mundo; Oncel Tuzel; Golnoosh Samei; Mohammad Rastegari; Mehrdad Farajtabar (ICLR, 2024)

Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. - Raviteja Vemulapalli; Hadi Pouransari; Fartash Faghri; Sachin Mehta; Mehrdad Farajtabar; Mohammad Rastegari; Oncel Tuzel (ICML, 2024)

Novel-view Acoustic Synthesis From 3D Reconstructed Rooms. - Byeongjoo Ahn; Karren D. Yang; Brian Hamilton; Jonathan Sheaffer; Anurag Ranjan; Miguel Sarabia; Oncel Tuzel; Jen-Hao Rick Chang (INTERSPEECH, 2024)

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum. - Hadi Pouransari; Chun-Liang Li; Jen-Hao Rick Chang; Pavan Kumar Anasosalu Vasu; Cem Koc; Vaishaal Shankar; Oncel Tuzel (NeurIPS, 2024)

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. - Sachin Mehta; Maxwell Horton; Fartash Faghri; Mohammad Hossein Sekhavat; Mahyar Najibi; Mehrdad Farajtabar; Oncel Tuzel; Mohammad Rastegari (CoRR, 2024)

CLIP with Quality Captions: A Strong Pretraining for Vision Tasks. - Pavan Kumar Anasosalu Vasu; Hadi Pouransari; Fartash Faghri; Oncel Tuzel (CoRR, 2024)

Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions. - Yu-Guan Hsieh; Cheng-Yu Hsieh; Shih-Ying Yeh; Louis Béthune; Hadipour Ansari; Pavan Kumar Anasosalu Vasu; Chun-Liang Li; Ranjay Krishna; Oncel Tuzel; Marco Cuturi (CoRR, 2024)

3D Shape Tokenization. - Jen-Hao Rick Chang; Yuyang Wang; Miguel Ángel Bautista 001; Jiatao Gu; Joshua M. Susskind; Oncel Tuzel (CoRR, 2024)

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. - Mohammadreza Salehi; Mehrdad Farajtabar; Maxwell Horton; Fartash Faghri; Hadi Pouransari; Raviteja Vemulapalli; Oncel Tuzel; Ali Farhadi; Mohammad Rastegari; Sachin Mehta (Trans. Mach. Learn. Res., 2024)

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. - Jeffrey Li; Mohammadreza Armandpour; Iman Mirzadeh; Sachin Mehta; Vaishaal Shankar; Raviteja Vemulapalli; Samy Bengio; Oncel Tuzel; Mehrdad Farajtabar; Hadi Pouransari; Fartash Faghri (ACL (1), 2025)

FastVLM: Efficient Vision Encoding for Vision Language Models. - Pavan Kumar Anasosalu Vasu; Fartash Faghri; Chun-Liang Li; Cem Koc; Nate True; Albert Antony; Gokula Santhanam; James Gabriel; Peter Grasch; Oncel Tuzel; Hadi Pouransari (CVPR, 2025)

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. - Iman Mirzadeh; Keivan Alizadeh; Hooman Shahrokhi; Oncel Tuzel; Samy Bengio; Mehrdad Farajtabar (ICLR, 2025)

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. - Yen-Ju Lu; Ting-Yao Hu; Hema Swetha Koppula; Hadi Pouransari; Jen-Hao Rick Chang; Yin Xia; Xiang Kong; Qi Zhu 011; Simon Wang; Oncel Tuzel; Raviteja Vemulapalli (NAACL (Findings), 2025)

Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization. - Shancong Mou; Raviteja Vemulapalli; Shiyu Li; Yuxuan Liu 014; C. Thomas; Meng Cao; Haoping Bai; Oncel Tuzel; Ping Huang; Jiulong Shan; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2025)

MobileCLIP2: Improving Multi-Modal Reinforced Training. - Fartash Faghri; Pavan Kumar Anasosalu Vasu; Cem Koc; Vaishaal Shankar; Alexander T. Toshev; Oncel Tuzel; Hadi Pouransari (Trans. Mach. Learn. Res., 2025)

FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations. - Cheng-Yu Hsieh; Pavan Kumar Anasosalu Vasu; Fartash Faghri; Raviteja Vemulapalli; Chun-Liang Li; Ranjay Krishna; Oncel Tuzel; Hadi Pouransari (CoRR, 2025)

Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. - Chen Huang 001; Skyler Seto; Hadi Pouransari; Mehrdad Farajtabar; Raviteja Vemulapalli; Fartash Faghri; Oncel Tuzel; Barry-John Theobald; Joshua M. Susskind (CoRR, 2025)