Deva Kannan Ramanan
#105,780
Most Influential Person Now
Deva Kannan Ramanan's AcademicInfluence.com Rankings
Deva Kannan Ramanancomputer-science Degrees
Computer Science
#3858
World Rank
#4055
Historical Rank
Machine Learning
#581
World Rank
#588
Historical Rank
Database
#1110
World Rank
#1167
Historical Rank
Download Badge
Computer Science
Deva Kannan Ramanan's Degrees
- PhD Electrical Engineering and Computer Science University of California, Berkeley
- Masters Electrical Engineering and Computer Science University of California, Berkeley
- Bachelors Electrical Engineering and Computer Science University of California, Berkeley
Why Is Deva Kannan Ramanan Influential?
(Suggest an Edit or Addition)Deva Kannan Ramanan's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Microsoft COCO: Common Objects in Context (2014) (26617)
- Object Detection with Discriminatively Trained Part Based Models (2010) (9938)
- A discriminatively trained, multiscale, deformable part model (2008) (2807)
- Face detection, pose estimation, and landmark localization in the wild (2012) (2287)
- Articulated pose estimation with flexible mixtures-of-parts (2011) (1169)
- Globally-optimal greedy algorithms for tracking a variable number of objects (2011) (840)
- Articulated Human Detection with Flexible Mixtures of Parts (2013) (760)
- A large-scale benchmark dataset for event recognition in surveillance video (2011) (700)
- Detecting activities of daily living in first-person camera views (2012) (697)
- Argoverse: 3D Tracking and Forecasting With Rich Maps (2019) (692)
- Finding Tiny Faces (2016) (667)
- Efficiently Scaling up Crowdsourced Video Annotation (2012) (544)
- Discriminative Models for Multi-Class Object Layout (2009) (534)
- Learning to parse images of articulated bodies (2006) (531)
- Tracking People by Learning Their Appearance (2007) (452)
- Learning to Model the Tail (2017) (432)
- 3D Human Pose Estimation = 2D Pose Estimation + Matching (2016) (431)
- ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification (2017) (394)
- Strike a pose: tracking people by finding stylized poses (2005) (369)
- Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks (2015) (348)
- Finding and tracking people from the bottom up (2003) (337)
- Discriminative Decorrelation for Clustering and Classification (2012) (311)
- Self-Paced Learning for Long-Term Tracking (2013) (305)
- Attentional Pooling for Action Recognition (2017) (287)
- Multiresolution Models for Object Detection (2010) (274)
- Need for Speed: A Benchmark for Higher Frame Rate Object Tracking (2017) (265)
- Histograms of Sparse Codes for Object Detection (2013) (251)
- Recycle-GAN: Unsupervised Video Retargeting (2018) (250)
- Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis (2005) (225)
- Learning Policies for Adaptive Tracking with Deep Feature Cascades (2017) (217)
- Depth-supervised NeRF: Fewer Views and Faster Training for Free (2021) (214)
- Automatic Annotation of Everyday Movements (2003) (208)
- Detecting Actions, Poses, and Objects with Relational Phraselets (2012) (188)
- Do We Need More Training Data or Better Models for Object Detection? (2012) (187)
- Meta-Learning to Detect Rare Objects (2019) (185)
- Multi-scale Recognition with DAG-CNNs (2015) (184)
- Do We Need More Training Data? (2015) (176)
- Parsing Videos of Actions with Segmental Grammars (2014) (164)
- Layered Object Models for Image Segmentation (2012) (157)
- Depth-Based Hand Pose Estimation: Data, Methods, and Challenges (2015) (155)
- Bilinear classifiers for visual recognition (2009) (155)
- Hierarchical Deep Stereo Matching on High-Resolution Images (2019) (153)
- Volumetric Correspondence Networks for Optical Flow (2019) (148)
- Capturing Long-Tail Distributions of Object Subcategories (2014) (148)
- Exploring Weak Stabilization for Motion Feature Extraction (2013) (139)
- Understanding Everyday Hands in Action from RGB-D Images (2015) (126)
- N-best maximal decoders for part models (2011) (124)
- Discriminative models for static human-object interactions (2010) (122)
- Computational Studies of Human Motion (2006) (122)
- Analyzing 3D Objects in Cluttered Images (2012) (121)
- Video Annotation and Tracking with Active Learning (2011) (119)
- Growing a Brain: Fine-Tuning by Increasing Model Capacity (2017) (118)
- Layered object detection for multi-class segmentation (2010) (117)
- CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning (2019) (117)
- Weakly-Supervised Action Localization With Background Modeling (2019) (116)
- 3D Hand Pose Detection in Egocentric RGB-D Images (2014) (114)
- Training Deformable Models for Localization (2006) (112)
- PixelNet: Representation of the pixels, by the pixels, and for the pixels (2017) (111)
- Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces (2010) (108)
- Building models of animals from video (2006) (108)
- Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians (2015) (105)
- Depth-Based Hand Pose Estimation: Methods, Data, and Challenges (2015) (103)
- Few-Shot Human Motion Prediction via Meta-learning (2018) (100)
- Leveraging archival video for building face datasets (2007) (100)
- Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning (2017) (98)
- Using Segmentation to Verify Object Hypotheses (2007) (92)
- First-person pose recognition using egocentric workspaces (2015) (91)
- Recognizing proxemics in personal photos (2012) (88)
- Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting (2023) (87)
- What You See is What You Get: Exploiting Visibility for 3D Object Detection (2019) (87)
- TAO: A Large-Scale Benchmark for Tracking Any Object (2020) (83)
- Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation (2009) (80)
- Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild (2020) (76)
- Photo-Sketching: Inferring Contour Drawings From Images (2019) (75)
- Using temporal coherence to build models of animals (2003) (75)
- OpenGAN: Open-Set Recognition via Open Data Generation (2021) (65)
- Analysis by Synthesis: 3D Object Recognition by Object Reconstruction (2014) (63)
- Articulated pose estimation with tiny synthetic videos (2015) (62)
- Online Model Distillation for Efficient Video Inference (2018) (61)
- What-If Motion Prediction for Autonomous Driving (2020) (60)
- Towards Streaming Perception (2020) (59)
- Visual object detection with deformable part models (2013) (58)
- Parsing Occluded People (2014) (57)
- Predictive-Corrective Networks for Action Detection (2017) (57)
- NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild (2021) (56)
- Steerable part models (2012) (56)
- PixelNet: Towards a General Pixel-level Architecture (2016) (55)
- Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs (2021) (55)
- Towards Segmenting Anything That Moves (2019) (54)
- Do Image Classifiers Generalize Across Time? (2019) (50)
- Ensemble Knowledge Transfer for Semantic Segmentation (2018) (50)
- Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters (2017) (49)
- DistInit: Learning Video Representations Without a Single Labeled Video (2019) (49)
- Active Learning with Partial Feedback (2018) (48)
- BANMo: Building Animatable 3D Neural Models from Many Casual Videos (2021) (46)
- LASR: Learning Articulated Shape Reconstruction from a Monocular Video (2021) (46)
- Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion (2020) (42)
- 4D Visualization of Dynamic Events From Unconstrained Multi-View Videos (2020) (39)
- Cross-Domain Image Matching with Deep Feature Maps (2018) (38)
- PixelNN: Example-based Image Synthesis (2017) (37)
- Unconstrained Face Detection and Open-Set Face Recognition Challenge (2017) (36)
- Efficiently Scaling up Crowdsourced Video Annotation A Set of Best Practices for High Quality, Economical Video Labeling (2012) (34)
- Part-Based Models for Finding People and Estimating Their Pose (2011) (33)
- The Open World of Micro-Videos (2016) (32)
- Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints (2019) (32)
- Where's Waldo: Matching people in images of crowds (2011) (31)
- Long- Tailed Recognition via Weight Balancing (2022) (30)
- The CLEAR Benchmark: Continual LEArning on Real-World Imagery (2022) (30)
- ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction (2021) (29)
- Cross-Domain Forensic Shoeprint Matching (2017) (28)
- Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details (2021) (25)
- Robust Tracking of the Upper Limb for Functional Stroke Assessment (2010) (25)
- AutoCaption: Automatic caption generation for personal photos (2014) (25)
- Predicting Functional Regions on Objects (2013) (23)
- A systematic framework for natural perturbations from videos (2019) (23)
- Dual coordinate solvers for large-scale structural SVMs (2013) (23)
- MetaPix: Few-Shot Video Retargeting (2019) (22)
- Learning to Segment Rigid Motions from Two Frames (2021) (22)
- Learning to Move with Affordance Maps (2020) (21)
- Shapes and Context: In-The-Wild Image Synthesis & Manipulation (2019) (20)
- Tracking People and Recognizing Their Activities (2005) (20)
- Inferring Distributions Over Depth from a Single Image (2019) (18)
- Increasing the density of Active Appearance Models (2008) (18)
- Comparing apples and oranges: Off‐road pedestrian detection on the National Robotics Engineering Center agricultural person‐detection dataset (2018) (18)
- Learning Generative Models of Tissue Organization with Supervised GANs (2018) (15)
- Opening up Open World Tracking (2021) (14)
- Detecting, localizing and recovering kinematics of textured animals (2005) (14)
- Statistical Tests for Optimization Efficiency (2011) (14)
- Detecting Invisible People (2020) (14)
- Learning to Optimally Segment Point Clouds (2019) (12)
- FOVEA: Foveated Image Magnification for Autonomous Navigation (2021) (11)
- Safe Local Motion Planning with Self-Supervised Freespace Forecasting (2021) (11)
- Active Testing: An Efficient and Robust Framework for Estimating Accuracy (2018) (10)
- Bottom-up and top-down reasoning with convolutional latent-variable models (2015) (10)
- Scheduling sensors for monitoring sentient spaces using an approximate POMDP policy (2013) (10)
- Exploiting semantics for scheduling real-time data collection from sensors to maximize event detection (2009) (10)
- RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild (2022) (9)
- Multimodal Object Detection via Bayesian Fusion (2021) (9)
- Are we Asking the Right Questions in MovieQA? (2019) (9)
- Assessment of Post-Stroke Functioning Using Machine Vision (2007) (9)
- Query-Driven Approach to Face Clustering and Tagging (2016) (8)
- Forecasting from LiDAR via Future Object Detection (2022) (8)
- Learning to Track Any Object (2019) (8)
- SEMARTCam scheduler: semantics driven real-time data collection from indoor camera networks to maximize event detection (2010) (8)
- Unsupervised Audiovisual Synthesis via Exemplar Autoencoders (2020) (8)
- Exploiting Semantics for Scheduling Data Collection from Sensors on Real-Time to Maximize Event Detection (2008) (7)
- Tinkering Under the Hood: Interactive Zero-Shot Learning with Net Surgery (2016) (7)
- HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images (2021) (6)
- Multimodal Object Detection via Probabilistic Ensembling (2021) (6)
- Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset (2017) (6)
- 3D-aware Conditional Image Synthesis (2023) (5)
- Egocentric Pose Recognition in Four Lines of Code (2014) (5)
- Finding Tiny Faces Supplementary Materials (2017) (5)
- Robust Modeling and Controls for Racing on the Edge (2022) (5)
- Background Splitting: Finding Rare Classes in a Sea of Background (2020) (4)
- Nonlinear image interpolation through extended permutation filters (2000) (4)
- Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories (2021) (4)
- Categorizing cubes: Revisiting pose normalization (2016) (4)
- Towards Latent Attribute Discovery From Triplet Similarities (2019) (4)
- BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video (2022) (4)
- Differentiable Raycasting for Self-supervised Occupancy Forecasting (2022) (4)
- Recognition in-the-Tail: Training Detectors for Unusual Pedestrians with Synthetic Imposters (2017) (4)
- Recognizing Tiny Faces (2019) (4)
- Towards Streaming Image Understanding (2020) (4)
- Learning Rare Category Classifiers on a Tight Labeling Budget (2021) (3)
- Patch Correspondences for Interpreting Pixel-level CNNs (2017) (3)
- Streaming Self-Training via Domain-Agnostic Unlabeled Images (2021) (3)
- Brute-Force Facial Landmark Analysis With A 140, 000-Way Classifier (2018) (3)
- Far3Det: Towards Far-Field 3D Detection (2022) (3)
- An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines (2021) (2)
- Simple , efficient and effective keypoint tracking (2017) (2)
- The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement (2018) (2)
- Depth-Based Hand Pose Estimation: Methods, Data, and Challenges (2018) (2)
- Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders (2020) (2)
- Discriminative Latent Variable Models for Object Detection (2010) (2)
- Learning with an Evolving Class Ontology (2022) (1)
- Learning Universal Embeddings from Attributes (2018) (1)
- TarViS: A Unified Approach for Target-based Video Segmentation (2023) (1)
- Do Convolutional Neural Networks act as Compositional Nearest Neighbors? (2017) (1)
- Continual Learning with Evolving Class Ontologies (2022) (1)
- Towards Long-Tailed 3D Detection (2022) (1)
- Video Exploration via Video-Specific Autoencoders (2021) (1)
- Multimodal Object Detection via Probabilistic Ensembling (Supplementary Material) (2022) (0)
- Human Activity and Pose Recognition using Space-time Correlation (2008) (0)
- Relational models for human-object interactions and object affordances (2013) (0)
- Few-shot Learning for Segmentation (2019) (0)
- Efficiently Scaling up Crowdsourced Video Annotation (2012) (0)
- Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis (2023) (0)
- Guest Editorial: Video Recognition (2016) (0)
- Differentiable Soft-Masked Attention (2022) (0)
- Deep Learning for Image Analysis (2017) (0)
- Soft Augmentation for Image Classification (2022) (0)
- Cross-Domain Image Matching with Deep Feature Maps (2019) (0)
- Learning to Discover and Detect Objects (2022) (0)
- Active Testing : Supplementary Materials (2018) (0)
- Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting (2023) (0)
- Input Stage-1 : Regression Stage-2 : Contextual Copy-Pasting qi pi [ ] ... Pixel Representation (2018) (0)
- SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos (2023) (0)
- Re-Evaluating LiDAR Scene Flow for Autonomous Driving (2023) (0)
- Do We Need More Training Data? (2015) (0)
- Video-Specific Autoencoders for Exploring, Editing and Transmitting Videos (2021) (0)
- SUDS: Scalable Urban Dynamic Scenes (2023) (0)
- Hands , objects , and videotape : recognizing object interactions from streaming wearable cameras (2014) (0)
- Egovision4Health - Assessing Activities of Daily Living from a Wearable RGB-D Camera for In-Home Health Care Applications (2013) (0)
- Training data consists of pairs of Discriminative models for multi-class object layout (2013) (0)
- Learning Generic Lung Ultrasound Biomarkers for Decoupling Feature Extraction from Downstream Tasks (2022) (0)
- Message from the General and Program Chairs (2018) (0)
- Guest Editorial: Video Recognition (2016) (0)
- Organizing Committee and Area Chairs (2018) (0)
- Fine-Grained Forensic Matching (2017) (0)
- global shapes parts shapes shapes + parts shapes + parts + pixels global matches input (2019) (0)
- Leveraging Structure for Generalization and Prediction in Visual System (2019) (0)
- Towards Latent Attribute Discovery from Triplet Similarities Supplementary Material (2019) (0)
- Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images (2023) (0)
- Learning to Zoom and Unzoom (2023) (0)
This paper list is powered by the following services:
What Schools Are Affiliated With Deva Kannan Ramanan?
Deva Kannan Ramanan is affiliated with the following schools:
