Deva Ramanan
128 papers · 2006–2026 · 9 venues · across top CS/AI venues
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Achievements
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(34)
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(7)
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Research topics
Computer Vision
(85)
Analysis
(68)
Machine Learning
(62)
Deep Learning
(52)
Artificial Intelligence
(43)
Core AI
(37)
Learning Types Β· Machine Learning
(34)
Learning Types Β· Deep Learning
(26)
Core Methods
(22)
Domain-Specific
(20)
Architectures
(18)
Application Areas
(17)
Processing
(17)
Generation
(14)
Models
(14)
Keywords
3d reconstruction
(15)
object detection
(11)
autonomous driving
(9)
neural radiance field
(8)
vision-language model
(8)
convolutional neural network
(7)
image classification
(7)
view synthesis
(7)
semantic segmentation
(7)
optical flow
(7)
depth estimation
(6)
self-supervised learning
(6)
autonomous vehicle
(5)
scene flow
(5)
few-shot learning
(5)
human pose estimation
(5)
novel view synthesis
(5)
3d object detection
(4)
video generation
(4)
transfer learning
(4)
Papers
Any4D: Unified Feed-Forward Metric 4D Reconstruction
CVPR 2026
Building a Precise Video Language with Human-AI Oversight
CVPR 2026
PAI-Bench: A Comprehensive Benchmark For Physical AI
CVPR 2026
RefAV: Towards Planning-Centric Scenario Mining
CVPR 2026
AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis
CVPR 2025
DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion
CVPR 2025
Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization
ICCV 2025
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features
ICCV 2025
Generating Physically Stable and Buildable Brick Structures from Text
ICCV 2025
InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning
ACL 2025
MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion
ICCV 2025
Neural Eulerian Scene Flow Fields
ICLR 2025
ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models
ICCV 2025
Reanimating Images using Neural Representations of Dynamic Stimuli
CVPR 2025
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
ICLR 2025
Towards Foundational Models for Single-Chip Radar
ICCV 2025
Using Diffusion Priors for Video Amodal Segmentation
CVPR 2025
Better Call SAL: Towards Learning to Segment Anything in Lidar
ECCV 2024
Cameras as Rays: Pose Estimation via Ray Diffusion
ICLR 2024
Evaluating Text-to-Visual Generation with Image-to-Text Generation
ECCV 2024
FlashTex: Fast Relightable Mesh Texturing with LightControlNet
ECCV 2024
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
CVPR 2024
I Can't Believe It's Not Scene Flow!
ECCV 2024
Language Models as Black-Box Optimizers for Vision-Language Models
CVPR 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NeurIPS 2024
Re-Evaluating LiDAR Scene Flow
WACV 2024
Revisiting Few-Shot Object Detection with Vision-Language Models
NeurIPS 2024
Revisiting the Role of Language Priors in Vision-Language Models
ICML 2024
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
CoRL 2024
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM
CVPR 2024
The Neglected Tails in Vision-Language Models
CVPR 2024
ZeroFlow: Scalable Scene Flow via Distillation
ICLR 2024
3D-Aware Conditional Image Synthesis
CVPR 2023
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video
WACV 2023
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
CVPR 2023
Far3Det: Towards Far-Field 3D Detection
WACV 2023
Joint Metrics Matter: A Better Standard for Trajectory Forecasting
ICCV 2023
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
ICML 2023
Learning To Zoom and Unzoom
CVPR 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models
CVPR 2023
Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images
CVPR 2023
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting
CVPR 2023
PPR: Physically Plausible Reconstruction from Monocular Videos
ICCV 2023
PyNeRF: Pyramidal Neural Radiance Fields
NeurIPS 2023
Reconstructing Animatable Categories From Videos
CVPR 2023
Soft Augmentation for Image Classification
CVPR 2023
SUDS: Scalable Urban Dynamic Scenes
CVPR 2023
TarViS: A Unified Approach for Target-Based Video Segmentation
CVPR 2023
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis
ICCV 2023
BANMo: Building Animatable 3D Neural Models From Many Casual Videos
CVPR 2022
Continual Learning with Evolving Class Ontologies
NeurIPS 2022
Depth-Supervised NeRF: Fewer Views and Faster Training for Free
CVPR 2022
Differentiable Raycasting for Self-Supervised Occupancy Forecasting
ECCV 2022
Forecasting From LiDAR via Future Object Detection
CVPR 2022
HODOR: High-Level Object Descriptors for Object Re-Segmentation in Video Learned From Static Images
CVPR 2022
Learning to Discover and Detect Objects
NeurIPS 2022
Long-Tailed Recognition via Weight Balancing
CVPR 2022
Mega-NERF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs
CVPR 2022
Multimodal Object Detection via Probabilistic Ensembling
ECCV 2022
Opening Up Open World Tracking
CVPR 2022
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
ECCV 2022
Towards Long-Tailed 3D Detection
CoRL 2022
Background Splitting: Finding Rare Classes in a Sea of Background
CVPR 2021
Detecting Invisible People
ICCV 2021
Do Image Classifiers Generalize Across Time?
ICCV 2021
FOVEA: Foveated Image Magnification for Autonomous Navigation
ICCV 2021
LASR: Learning Articulated Shape Reconstruction From a Monocular Video
CVPR 2021
Learning Rare Category Classifiers on a Tight Labeling Budget
ICCV 2021
Learning To Segment Rigid Motions From Two Frames
CVPR 2021
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
ICCV 2021
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
NeurIPS 2021
OpenGAN: Open-Set Recognition via Open Data Generation
ICCV 2021
Safe Local Motion Planning With Self-Supervised Freespace Forecasting
CVPR 2021
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
ICLR 2021
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
NeurIPS 2021
4D Visualization of Dynamic Events From Unconstrained Multi-View Videos
CVPR 2020
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints
ICLR 2020
CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning
ICLR 2020
Learning to Move with Affordance Maps
ICLR 2020
MetaPix: Few-Shot Video Retargeting
ICLR 2020
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
ECCV 2020
TAO: A Large-Scale Benchmark for Tracking Any Object
ECCV 2020
Towards Streaming Perception
ECCV 2020
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion
CVPR 2020
What You See is What You Get: Exploiting Visibility for 3D Object Detection
CVPR 2020
Active Learning with Partial Feedback
ICLR 2019
Argoverse: 3D Tracking and Forecasting With Rich Maps
CVPR 2019
DistInit: Learning Video Representations Without a Single Labeled Video
ICCV 2019
Hierarchical Deep Stereo Matching on High-Resolution Images
CVPR 2019
Meta-Learning to Detect Rare Objects
ICCV 2019
Online Model Distillation for Efficient Video Inference
ICCV 2019
Shapes and Context: In-The-Wild Image Synthesis & Manipulation
CVPR 2019
Towards Latent Attribute Discovery From Triplet Similarities
ICCV 2019
Volumetric Correspondence Networks for Optical Flow
NeurIPS 2019
Weakly-Supervised Action Localization With Background Modeling
ICCV 2019
Active Testing: An Efficient and Robust Framework for Estimating Accuracy
ICML 2018
Few-Shot Human Motion Prediction via Meta-Learning
ECCV 2018
PixelNN: Example-based Image Synthesis
ICLR 2018
Recycle-GAN: Unsupervised Video Retargeting
ECCV 2018
3D Human Pose Estimation = 2D Pose Estimation + Matching
CVPR 2017
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
CVPR 2017
Attentional Pooling for Action Recognition
NeurIPS 2017
Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters
CVPR 2017
Finding Tiny Faces
CVPR 2017
Growing a Brain: Fine-Tuning by Increasing Model Capacity
CVPR 2017
Learning Policies for Adaptive Tracking With Deep Feature Cascades
ICCV 2017
Learning to Model the Tail
NeurIPS 2017
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
ICCV 2017
Predictive-Corrective Networks for Action Detection
CVPR 2017
Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning
ICCV 2017
Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians
CVPR 2016
Depth-Based Hand Pose Estimation: Data, Methods, and Challenges
ICCV 2015
First-Person Pose Recognition Using Egocentric Workspaces
CVPR 2015
Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks
ICCV 2015
Multi-Scale Recognition With DAG-CNNs
ICCV 2015
Understanding Everyday Hands in Action From RGB-D Images
ICCV 2015
Analysis by Synthesis: 3D Object Recognition by Object Reconstruction
CVPR 2014
Capturing Long-tail Distributions of Object Subcategories
CVPR 2014
Parsing Occluded People
CVPR 2014
Parsing Videos of Actions with Segmental Grammars
CVPR 2014
Exploring Weak Stabilization for Motion Feature Extraction
CVPR 2013
Histograms of Sparse Codes for Object Detection
CVPR 2013
Self-Paced Learning for Long-Term Tracking
CVPR 2013
Analyzing 3D Objects in Cluttered Images
NeurIPS 2012
Statistical Tests for Optimization Efficiency
NeurIPS 2011
Video Annotation and Tracking with Active Learning
NeurIPS 2011
Bilinear classifiers for visual recognition
NeurIPS 2009
Learning to parse images of articulated bodies
NeurIPS 2006