Publications

B. Wilson, W. Qi, T. Agarwal, J. Lambert, J. Singh, S. Khandelwal, B. Pan, R. Kumar, A. Hartnett, J. Pontes, D. Ramanan, P. Carr, J. Hayes. Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting, NeurIPS 2021 Datasets and Benchmarks.
Z. Lin, J. Shi, D. Pathak*, D.Ramanan*. The CLEAR Benchmark: Continual LEArning on Real-World Imagery, NeurIPS 2021 Datasets and Benchmarks.
J. Zhang, G. Yang, S. Tulsiani*, D. Ramanan*. NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild, NeurIPS 2021.
G. Yang, D. Sun, V. Jampani, D. Vlasic, F. Cole, C. Liu, D. Ramanan. ViSER: Video Surface Embeddings for Articulated 3D Shape Reconstruction, NeurIPS 2021.
C. Thavamani*, M. Li*, N. Cebron, D. Ramanan. FOVEA: Foveated Image Magnification for Autonomous Navigation, ICCV 2021.
T. Khurana, A. Dave, D. Ramanan. Detecting Invisible People, ICCV 2021.
S. Kong, D. Ramanan. OpenGAN: Open-Set Recognition via Open Data Generation, ICCV 2021. (Marr Prize, Honorable Mention). PAMI 2022 (extended version).
R. Mullapudi, F. Poms, W. Mark, D. Ramanan, K. Fatahalian. Learning Rare Category Classifiers on a Tight Labeling Budget, ICCV 2021.
F. Poms*, V. Sarukkai*, R. Mullapudi, N. Sohoni, W. Mark, D. Ramanan, K. Fatahalian. Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories, ICCV 2021.
G. Yang, D. Ramanan. Learning to Segment Rigid Motions from Two Frames, CVPR 2021.
P. Hu, A. Huang, J. Dolan, D. Held, D. Ramanan. Safe Local Motion Planning with Self-Supervised Freespace Forecasting. CVPR 2021.
G. Yang, D. Sun, V. Jampani, D. Vlasic, F. Cole, H. Chang, D. Ramanan, W. Freeman, C. Liu. LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CVPR 2021.
R. Mullapudi, F. Poms, W. Mark, D. Ramanan, K. Fatahalian. Background Splitting: Finding Rare Classes in a Sea of Background, CVPR 2021.
V. Shankar, A. Dave, R. Roelofs, D. Ramanan, B. Recht, L. Schmidt. Do Image Classifiers Generalize Across Time? CVPR 2021.
K. Deng, A. Bansal, D. Ramanan. Unsupervised Audiovisual Synthesis via Exemplar Autoencoders, ICLR 2021.
M. Li, Y. Wang, D. Ramanan. Towards Streaming Perception, ECCV 2020. (Best Paper, Honorable Mention).
A. Dave, T. Khurana, P. Tokmakov, C. Schmid, D. Ramanan. TAO: A Large-scale Benchmark for Tracking Any Object, ECCV 2020.
J. Zhang, S. Pepose, H. Joo, D. Ramanan, J. Malik, A. Kanazawa. Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild, ECCV 2020.
G. Yang, D. Ramanan. Upgrading Optical Flow to 3D Scene Flow through Optical Expansion, CVPR 2020.
P. Hu, D. Held, D. Ramanan. What You See Is What You Get: Exploiting Visibility for 3D Object Detection, CVPR 2020.
A. Bansal, M. Vo, Y. Sheikh, D. Ramanan, S. Narasimhan. 4D Visualization of Dynamic Events from Unconstrained Multi-View Videos, CVPR 2020.
P. Hu, D. Held*, D. Ramanan*. Learning to Optimally Segment Point Clouds, IEEE Robotics and Automation Letters (RA-L), 2020.
R. Girdhar, D. Ramanan. CATER: A Diagnostic Dataset for Compositional Actions & TEmporal Reasoning, ICLR 2020.
W. Qi, R. Mullapudi, S. Gupta, D. Ramanan. Learning to Move with Affordance Maps, ICLR 2020.
M. Li, E. Yumer, D. Ramanan. Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints, ICLR 2020.
J. Lee, D. Ramanan, R. Girdhar. MetaPix: Few-Shot Video Retargeting, ICLR 2020.
G. Yang, D. Ramanan. Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
R. Mullapudi, S. Chen, K. Zhang, D. Ramanan, K. Fatahalian. Online Model Distillation for Efficient Video Inference, ICCV 2019.
Y. Wang, D. Ramanan, M. Hebert. Meta-Learning to Detect Rare Objects, ICCV 2019.
R. Gridhar, D. Tran, L. Torresani, D. Ramanan. DistInit: Learning Video Representations without a Single Labeled Video, ICCV 2019.
I. Nigam, P. Tokmakov, D. Ramanan. Towards Latent Attribute Discovery from Triplet Similarities, ICCV 2019.
P. Nguyen, D. Ramanan, C. Fowlkes. Weakly-supervised Action Localization with Background Modeling, ICCV 2019.
G. Yang, P. Hu, D. Ramanan. Inferring Distributions Over Depth From a Single Image, IROS 2019.
A. Bansal, Y. Sheikh. D. Ramanan. Shapes and Context: In-the-Wild Image Synthesis & Manipulation, CVPR 2019. (Best Paper Award Finalist).
G. Yang, J. Manela, M. Happold, D. Ramanan. Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
M. Chang, J. Lambert, P. Sangkloy, S. Singh, S. Bak, A. Hartnett, D. Wang, P. Carr, S. Lucey, D. Ramanan, J. Hayes. Argoverse: 3D Tracking and Forecasting with Rich Maps, CVPR 2019.
P. Hu, Z. Lipton, A. Anandkumar, D. Ramanan. Active Learning with Partial Feedback, ICLR 2019.
M. Li, Z. Lin, R. Mech, E. Yumer, D. Ramanan. Photo-Sketching: Inferring Contour Drawings from Images , WACV 2019.
P. Nguyen, D. Ramanan, C. Fowlkes. Active Testing, ICML 2018.
A. Bansal, Y. Sheikh, D. Ramanan. PixelNN: Example-based Image Synthesis, ICLR 2018.
M. Li, L. Jeni, D. Ramanan. Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier, AAAI 2018.
Hang, R. Murphy, D. Ramanan. Learning Generative Models of Tissue Organization wih Supervised GANs, WACV 2018.
J. Wang, O. Russakovsky, D. Ramanan. The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement WACV 2018.
I. Nigam, C. Huang, D. Ramanan. Ensemble Knowledge Transfer for Semantic Segmentation, WACV 2018.
R. Girdhar, D. Ramanan. Attentional Pooling for Action Recognition, NeurIPS 2017.
Y. Wang, D. Ramanan, M. Hebert. Learning to Model the Tail, NeurIPS 2017.
B. Kong, J. Supancic, D. Ramanan, C. Fowlkes. Cross-Domain Forensic Shoeprint Matching, BMVC 2017. (Best Industrial Paper, Honorable Mention).
Z. Pezzementi, T. Tabor, P. Hu, J. Chang, D. Ramanan, C. Wellington, B. Babu, H. Herman. Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset, Journal of Feild Robotics 2017.
M. Gunther et al. Unconstrained Face Detection and Open-Set Face Recognition Challenge, IJCB 2017.
J. Supancic, D. Ramanan. Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning, ICCV 2017.
C. Huang, S. Lucey, D. Ramanan. Learning Policies for Adaptive Tracking with Deep Feature Cascades, ICCV 2017.
H. Galoogahi, A. Fagg, C. Huang, D. Ramanan, S. Lucey. Need for Speed: A Benchmark for Higher Frame Rate Object Tracking, ICCV 2017.
P. Hu, D. Ramanan. Finding Tiny Faces, CVPR 2017.
C. Chen, D. Ramanan. 3D Human Pose Estimation = 2D Pose Estimation + Matching, CVPR 2017.
S. Huang, D. Ramanan. Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters, CVPR 2017.
A. Dave, O. Russakovsky, D. Ramanan. Predictive-Corrective Networks for Action Detection, CVPR 2017.
R. Girdhar, D. Ramanan, A. Gupta, J. Sivic, B. Russell. ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification, CVPR 2017.
Y. Wang, D. Ramanan, M. Hebert. Growing a Brain: Fine-Tuning by Increasing Model Capacity, CVPR 2017.
P. Hu, D. Ramanan. Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians, CVPR 2016.
M. Hejrati, D. Ramanan. Categorizing Cubes: Revisiting Pose Normalization, WACV 2016. (Best Paper Award).
L. Zhang, X. Wang, D. Kalashnikov, S. Mehrotra, D. Ramanan. Query-Driven Approach to Face Clustering and Tagging, IEEE Trans on Image Processing, 2016.
X. Zhu, C. Vondrick, C. Fowlkes, D. Ramanan. Do We Need More Training Data? IJCV 2015.
J. Supancic, G. Rogez, Y. Yang, J. Shotton. D. Ramanan. Depth-Based Hand Pose Estimation: Data, Methods, and Challenges, ICCV 2015.
G. Rogez, J. Supancic, D. Ramanan. Understanding Everyday Hands in Action from RGB-D Images, ICCV 2015.
S. Yang, D. Ramanan. Multi-scale Recognition with DAG-CNNs, ICCV 2015.
C. Cao, X. Liu, Y. Yang, Y. Yu, J. Wang, Z. Wang, Y. Huang, W. Xu, D. Ramanan, T. Huang. Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Nets, ICCV 2015.
G. Rogez, J. Supancic, D. Ramanan. First-Person Pose Recognition Using Egocentric Workspaces, CVPR 2015.
D. Park, D. Ramanan. Articulated Pose Estimation with Tiny Synthetic Videos, ChaLearn Workshop on Looking at People, CVPR 2015.

Journal Publications/Book Chapters (pre-2015)

	X. Zhu, C. Vondrick, C. Fowlkes, D. Ramanan. "Do We Need More Training Data?" International Journal of Computer Vision (IJCV). March 2015. PDF Dataset
	Y. Yang, D. Ramanan. "Articulated Human Detection with Flexible Mixtures of Parts" IEEE Pattern Analysis and Machine Intelligence (PAMI). Dec 2013. PDF Details
	R. Vaisenberg, A. Motta, S. Mehrotra, D. Ramanan. "Scheduling Sensors for Monitoring Sentient Spaces using an Approximate POMDP Policy" Pervasive and Mobile Computing (PMC). Nov 2013. PDF
	P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. "Visual Object Detection with Deformable Part Models" Communications of the ACM (CACM). Sept 2013. PDF
	C. Vondrick, D. Patterson, D. Ramanan. "Efficiently Scaling Up Crowdsourced Video Annotation"International Journal of Computer Vision (IJCV). Jan 2013. PDF Details
	Y. Yang, S. Hallman, D. Ramanan, C. Fowlkes. "Layered Object Models for Image Segmentation" IEEE Pattern Analysis and Machine Intelligence (PAMI). Oct 2011 PDF
	D. Ramanan. "Part-based Models for Finding People and Estimating Their Pose". In T. Moeslund, A. Hilton, and L. Sigal (Eds.), Visual Analysis of Humans. Springer, Oct 2011. PDF
	C. Desai, D. Ramanan, C. Fowlkes. "Discriminative Models for Multi-Class Object Layout" International Journal of Computer Vision (IJCV). Oct 2011. PDF Talk slides Code
	D. Ramanan, S. Baker. "Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation" IEEE Pattern Analysis and Machine Intelligence (PAMI). April 2011. PDF Details
	S. Allin, N. Baker, E. Eckel, D. Ramanan. "Robust Tracking of the Upper Limb for Functional Stroke Assessment" IEEE Neural Systems & Rehabilitation Engineering (NSRE). April 2010. PDF
	R. Vaisenberg, S. Mehrotra, D. Ramanan. "SEMARTCam Scheduler - Semantics Driven Real-Time Data Collection from Indoor Camera Networks to Maximize Event Detection" Journal of Real-Time Image Processing (JRTIP). Feb 2010. PDF
	P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. "Object Detection with Discriminatively Trained Part-Based Models" IEEE Pattern Analysis and Machine Intelligence (PAMI). Sept 2010. PDF Training/Testing Code (Matlab)
	D. Ramanan, D. A. Forsyth, A. Zisserman. "Tracking People by Learning their Appearance" IEEE Pattern Analysis and Machine Intelligence (PAMI). Jan 2007. PDF Videos
	D. Ramanan, D. A. Forsyth, K. Barnard. "Building Models of Animals from Video" IEEE Pattern Analysis and Machine Intelligence (PAMI). August 2006. PDF Videos
	D. A. Forsyth, O. Arikan, L. Ikemoto, J. O'Brien, D. Ramanan. "Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis" Foundations and Trends in Computer Graphics and Vision, Hanover, Massachusetts. Now Publishers Inc., 2006. PDF

Conference Publications (pre-2015)

	G. Rogez, J. Supancic, D. Ramanan "First-Person Pose Recognition using Egocentric Workspaces" Computer Vision and Pattern Recognition (CVPR), Boston, MA, June 2015. PDF
	T.Y. Lin, et al. "Microsoft COCO: Common Objects in Context"European Conference on Computer Vision (ECCV), Zurich, Switzerland, Sept 2014. PDF
	H. Pirsiavash, D. Ramanan "Parsing videos of actions with segmental grammars"Computer Vision and Pattern Recognition (CVPR), Columbus, OH, June 2014. PDF
	M. Hejrati, D. Ramanan. "Analysis by Synthesis: 3D Object Recognition by Object Reconstruction"Computer Vision and Pattern Recognition (CVPR), Columbus, OH, June 2014. PDF
	X. Zhu, D. Anguelov, D. Ramanan. "Capturing long-tail distributions of object subcategories"Computer Vision and Pattern Recognition (CVPR), Columbus, OH, June 2014. PDF
	G. Ghiasi, Y. Yang, D. Ramanan., C. Fowlkes. "Parsing Occluded People" Computer Vision and Pattern Recognition (CVPR), Columbus, OH, June 2014. PDF
	K. Ramnath, et al. "AutoCaption: Automatic Caption Generation for Personal Photos" Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, March 2014. PDF Details
	J. Supancic, D. Ramanan. "Self-Paced Learning for Long-Term Tracking" Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. PDF Code/Data
	X. Ren, D. Ramanan. "Histograms of Sparse Codes for Object Detection" Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. PDF Code
	D. Park, C. L. Zitnik, D. Ramanan, P. Dollar. "Exploring Weak Stabilization for Motion Feature Extraction" Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. PDF
	R. Vaisenberg, A. Motta, S. Mehrotra, D. Ramanan. "Scheduling Sensors for Monitoring Sentient Spaces using an Approximate POMDP Policy" Pervasive Computing and Communications (PerCom), San Deigo, CA, March 2013. PDF
	M. Hejrati, D. Ramanan. "Analyzing 3D Objects in Cluttered Images" Neural Info. Proc. Systems (NIPS), Lake Tahoe, NV, Dec 2012. PDF
	B. Hariharan, J. Malik, D. Ramanan. "Discriminative Decorrelation for Clustering and Classification" European Conference on Computer Vision (ECCV), Florence, Italy, Oct. 2012. PDF
	C. Desai, D. Ramanan. "Detecting Actions, Poses, and Objects with Relational Phraselets" European Conference on Computer Vision (ECCV), Florence, Italy, Oct. 2012. PDF
	X. Zhu, C. Vondrick, D. Ramanan, C. Fowlkes. "Do We Need More Training Data or Better Models for Object Detection?" British Machine Vision Conference (BMVC), Surrey, UK, Sept. 2012. PDF Dataset
	X. Zhu, D. Ramanan. "Face Detection, Pose Estimation, and Landmark Localization in the Wild" Computer Vision and Pattern Recognition (CVPR), Providence, RI, June 2012. PDF Details
	H. Pirsiavash, D. Ramanan. "Recognizing Activities of Daily Living in First-Person Camera Views" Computer Vision and Pattern Recognition (CVPR), Providence, RI, June 2012. PDF
	H. Pirsiavash, D. Ramanan. "Steerable Part Models" Computer Vision and Pattern Recognition (CVPR), Providence, RI, June 2012. PDF
	Y. Yang, S. Baker, A. Kannan, D. Ramanan. "Recognizing Proxemics in Personal Photos" Computer Vision and Pattern Recognition (CVPR), Providence, RI, June 2012. PDF Details
	C. Vondrick, D. Ramanan. "Video Annotation and Tracking with Active Learning" Neural Info. Proc. Systems (NIPS), Granada, Spain, Dec 2011. PDF Details
	L. Boyles, A. Korattikara, D. Ramanan, M. Welling. "Statistical Tests for Optimization Efficiency" Neural Info. Proc. Systems (NIPS), Granada, Spain, Dec 2011. PDF
	D. Park, D. Ramanan. "N-Best Maximal Decoders for Part Models" International Conference on Computer Vision (ICCV) Barcelona, Spain, November 2011. PDF Code Data
	Y. Yang, D. Ramanan. "Articulated Pose Estimation using Flexible Mixtures of Parts" Computer Vision and Pattern Recognition (CVPR) Colorado Springs, Colorado, June 2011. PDF Details
	H. Pirsiavash, D. Ramanan, C. Fowlkes. "Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects" Computer Vision and Pattern Recognition (CVPR) Colorado Springs, Colorado, June 2011. PDF Code
	R. Garg, D. Ramanan, S. Seitz, N. Snavely. "Where's Waldo: Matching People in Images of Crowds" Computer Vision and Pattern Recognition (CVPR) Colorado Springs, Colorado, June 2011. PDF Details
	S. Oh, et al. "A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video" Computer Vision and Pattern Recognition (CVPR) Colorado Springs, Colorado, June 2011. PDF Data
	C. Vondrick, D. Ramanan, D. Patterson. "Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces" European Conference on Computer Vision (ECCV) Crete, Greece, Sept. 2010. PDF Details
	D. Park, D. Ramanan, C. Fowlkes. "Multiresolution models for object detection" European Conference on Computer Vision (ECCV) Crete, Greece, Sept. 2010. PDF
	Y. Yang, S. Hallman, D. Ramanan, C. Fowlkes. "Layered Object Detection for Multi-Class Segmentation" Computer Vision and Pattern Recognition (CVPR) San Francisco, CA, June 2010. PDF
	H. Pirsiavash, D. Ramanan, C. Fowlkes. "Bilinear Classifiers for Visual Recognition" Neural Info. Proc. Systems (NIPS), Vancouver, Canada, Dec 2009. PDF
	C. Desai, D. Ramanan, C. Fowlkes. "Discriminative Models for Multi-Class Object Layout" International Conference on Computer Vision (ICCV) Kyoto, Japan, Sept. 2009. Marr prize winner. PDF Talk slides Code
	D. Ramanan, S. Baker. "Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation" International Conference on Computer Vision (ICCV) Kyoto, Japan, Sept. 2009. PDF Details
	R. Vaisenberg, S. Mehrotra, D. Ramanan. "Exploiting Semantics for Scheduling Data Collection From Sensors in Real-Time to Maximimize Event Detection" Multimedia and Computer Networks (MMCN) San Jose, CA, January 2009. PDF
	P. Felzenszwalb, D. McAllester, D. Ramanan. "A Discriminatively Trained, Multiscale, Deformable Part Model" Computer Vision and Pattern Recognition (CVPR) Anchorage, Alaska, June 2008. PDF Training/Testing Code (Matlab)
	K. Ramnath, S. Baker, I. Matthews, D. Ramanan. "Increasing the Density of Active Appearance Models" Computer Vision and Pattern Recognition (CVPR) Anchorage, Alaska, June 2008. PDF
	D. Ramanan, S. Baker, S. Kakade. "Leveraging Archival Video for Building Face Datasets" International Conference on Computer Vision (ICCV) Rio de Janeiro, Brazil, Oct 2007. PDF
	D. Ramanan. "Using Segmentation to Verify Object Hypotheses" Computer Vision and Pattern Recognition (CVPR) Minneapolis, MI, June 2007. PDF
	S. Allin, D. Ramanan. "Assessment of Post Stroke Functioning Using Machine Vision" IAPR Machine Vision and Applications (MVA), Tokyo, Japan, May 2007. PDF
	D. Ramanan. "Learning to Parse Images of Articulated Objects" Neural Info. Proc. Systems (NIPS), Vancouver, Canada, Dec 2006. PDF Details
	D. Ramanan, C. Sminchisescu. "Training Deformable Models for Localization" Computer Vision and Pattern Recognition (CVPR), New York, NY, June 2006. PDF Related Work (with code)
	D. Ramanan, D. A. Forsyth, A. Zisserman. "Tracking People and Recognizing their Activities" (video) Video Proceeedings of Computer Vision and Pattern Recognition (VPCVPR), San Diego, CA, June 2005. PDF Video
	D. Ramanan, D. A. Forsyth, A. Zisserman. "Strike a Pose: Tracking People by Finding Stylized Poses." Computer Vision and Pattern Recognition (CVPR), San Diego, CA, June 2005. PDF Details/Examples
	D. Ramanan, D. A. Forsyth, K. Barnard. "Detecting, Localizing, and Recovering Kinematics of Textured Animals" Computer Vision and Pattern Recognition (CVPR), San Diego, CA, June 2005. PDF Details/Examples
	D. Ramanan, D. A. Forsyth. "Automatic Annotation of Everyday Movements" Neural Info. Proc. Systems (NIPS), Vancouver, Canada, Dec 2003. PDF Details/Examples
	D. Ramanan, D. A. Forsyth. "Using Temporal Coherence to Build Models of Animals" Intl. Conf. on Computer Vision (ICCV), Nice, France, Oct 2003. PDF Details/Examples
	D. Ramanan, D. A. Forsyth. "Finding and Tracking People From the Bottom Up" Computer Vision and Pattern Recognition (CVPR), Madison, WI, June 2003. PDF Details/Examples
	D. Ramanan, K. E. Barner. "Non-linear Image Interpolation Through Extended Permutation Rank Selection Filters" Proceedings of the IEEE International Conference on Image Processing (ICIP), Vancouver, Canada, Sept. 2000. PDF

Workshop Publications (pre-2015)

	D. Park, D. Ramanan."Articulated Pose Estimation with Tiny Synthetic Videos" Workshop on ChaLearn: Looking at People, Computer Vision and Pattern Recognition (CVPR), Boston, MA, June 2015. PDF
	G. Rogez, M. Khademi, J. Supancic, J. Montiel, D. Ramanan. "3D Hand Pose Detection in Egocentric RGB-D Images" Workshop on Consumer Depth Cameras for Computer Vision, European Conference on Computer Vision (ECCV), Zurich, Switzerland, Sept. 2014. PDF
	C. Desai, D. Ramanan. "Predicting Functional Regions of Objects" Workshop on Scene Analysis Beyond Semantics, Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. PDF
	C. Desai, D. Ramanan, C. Fowlkes. "Discriminative Models for Static Human-Object Interactions" Workshop on Structured Models in Computer Vision, Computer Vision and Pattern Recognition (SMiCV) San Francisco, CA, June 2010. PDF

Technical Reports (pre-2015)

D. Ramanan. "Dual Coordinate Solvers for Large-scale Structural SVMs" ArXiv Report , 2013.

PDF

Theses

D. Ramanan. "Tracking People and Recognizing their Activities" Phd thesis, UC Berkeley, Berkeley, CA, May 2005.

PDF Video

D. Ramanan. "Spatial-rank order methods and their application in image interpolation" Undergraduate thesis, University of Delaware, Newark, Delaware, May 2000.

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