← Authors

Manmohan Chandraker

99 papers · 2013–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (10) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (110) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (23) πŸ”¬ Deep Specialist (24) πŸ† Grand Slam πŸ† Keyword Champion (3) πŸ’Ž Century Club (99) πŸ”₯ Unstoppable (13) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (317) ⚑ Prolific Year (11) ❓ The Questioner πŸ“ˆ Trend Setter

Conferences

CVPR (48) ECCV (21) ICCV (14) WACV (7) NIPS (4) ICLR (3) AAAI (1) ICML (1)

Top co-authors

Samuel Schulter (23) Xiang Yu (22) Kihyuk Sohn (12) Ravi Ramamoorthi (12) Yi-Hsuan Tsai (12) Bingbing Zhuang (10) Zhengqin Li (9) Yumin Suh (9) Buyu Liu (9) Tarun Kalluri (7)

Research topics

Computer Vision (1) Differential Privacy (1)

Keywords

domain adaptation (11) semantic segmentation (7) autonomous driving (7) object detection (7) inverse rendering (6) structure from motion (5) knowledge distillation (5) convolutional neural network (5) 3d reconstruction (5) differentiable rendering (5) face recognition (5) representation learning (4) scene understanding (4) 3d vision (4) domain generalization (4) material estimation (4) lighting estimation (4) transfer learning (4) diffusion model (4) indoor scene (4)

Papers

Tuned Contrastive Learning WACV 2025
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation ICCV 2025
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation ICLR 2025
AutoScape: Geometry-Consistent Long-Horizon Scene Generation ICCV 2025
DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning ICCV 2025
Locally Orderless Images for Optimization in Differentiable Rendering CVPR 2025
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement CVPR 2024
Generating Enhanced Negatives for Training Language-Based Object Detectors CVPR 2024
TextureDreamer: Image-Guided Texture Synthesis Through Geometry-Aware Diffusion CVPR 2024
Tell, Don’t Show: Language Guidance Eases Transfer Across Domains in Images and Videos ICML 2024
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework ECCV 2024
Safe-Sim: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries ECCV 2024
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving CVPR 2024
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs CVPR 2024
Taming Self-Training for Open-Vocabulary Object Detection CVPR 2024
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes CVPR 2024
Instantaneous Perception of Moving Objects in 3D CVPR 2024
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization CVPR 2023
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation WACV 2023
Exploring Question Decomposition for Zero-Shot VQA NIPS 2023
Split To Learn: Gradient Split for Multi-Task Human Image Analysis WACV 2023
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes WACV 2023
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation ICCV 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters ICCV 2023
Efficient Controllable Multi-Task Architectures ICCV 2023
A Theory of Topological Derivatives for Inverse Rendering of Geometry ICCV 2023
GeoNet: Benchmarking Unsupervised Adaptation Across Geographies CVPR 2023
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes CVPR 2022
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes CVPR 2022
Controllable Dynamic Multi-Task Architectures CVPR 2022
Learning To Learn Across Diverse Data Biases in Deep Face Recognition CVPR 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning CVPR 2022
Weakly but Deeply Supervised Occlusion-Reasoned Parametric Road Layouts CVPR 2022
A Level Set Theory for Neural Implicit Evolution under Explicit Flows ECCV 2022
Physically-Based Editing of Indoor Scene Lighting from a Single Image ECCV 2022
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation ECCV 2022
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments ECCV 2022
Exploiting Unlabeled Data with Vision and Language Models for Object Detection ECCV 2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts ECCV 2022
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation ECCV 2022
Single-Stream Multi-level Alignment for Vision-Language Pretraining ECCV 2022
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty CVPR 2021
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets CVPR 2021
Learning Cross-Modal Contrastive Features for Video Domain Adaptation ICCV 2021
Modulated Periodic Activations for Generalizable Local Functional Representations ICCV 2021
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation CVPR 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction CVPR 2021
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains CVPR 2021
Towards Universal Representation Learning for Deep Face Recognition CVPR 2020
Understanding Road Layout From Videos as a Whole CVPR 2020
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image CVPR 2020
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes CVPR 2020
Domain Adaptive Semantic Segmentation Using Weak Labels ECCV 2020
Single View Metrology in the Wild ECCV 2020
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction ECCV 2020
Object Detection with a Unified Label Space from Multiple Datasets ECCV 2020
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling ECCV 2020
Single-Shot Neural Relighting and SVBRDF Estimation ECCV 2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild ECCV 2020
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction ECCV 2020
Active Adversarial Domain Adaptation WACV 2020
Unsupervised and Semi-Supervised Domain Adaptation for Action Recognition from Drones WACV 2020
DAVID: Dual-Attentional Video Deblurring WACV 2020
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows NIPS 2020
Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations CVPR 2020
Domain Adaptation for Structured Output via Discriminative Patch Representations ICCV 2019
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild CVPR 2019
Learning Structure-And-Motion-Aware Rolling Shutter Correction CVPR 2019
Feature Transfer Learning for Face Recognition With Under-Represented Data CVPR 2019
A Parametric Top-View Representation of Complex Road Scenes CVPR 2019
Unsupervised Domain Adaptation for Distance Metric Learning ICLR 2019
Learning To Simulate ICLR 2019
Universal Semi-Supervised Semantic Segmentation ICCV 2019
Learning to Adapt Structured Output Space for Semantic Segmentation CVPR 2018
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image ECCV 2018
Learning to Look around Objects for Top-View Representations of Outdoor Scenes ECCV 2018
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences ECCV 2018
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation CVPR 2017
Person Re-Identification in the Wild CVPR 2017
DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents CVPR 2017
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition ICCV 2017
Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing CVPR 2017
Learning Efficient Object Detection Models with Knowledge Distillation NIPS 2017
Robust Energy Minimization for BRDF-Invariant Shape From Light Fields CVPR 2017
Towards Large-Pose Face Frontalization in the Wild ICCV 2017
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos ICCV 2017
Deep Network Flow for Multi-Object Tracking CVPR 2017
Universal Correspondence Network NIPS 2016
SVBRDF-Invariant Shape and Reflectance Estimation From Light-Field Cameras CVPR 2016
A Continuous Occlusion Model for Road Scene Understanding CVPR 2016
WarpNet: Weakly Supervised Matching for Single-View Reconstruction CVPR 2016
Joint SFM and Detection Cues for Monocular 3D Localization in Road Scenes CVPR 2015
Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving CVPR 2014
What Camera Motion Reveals About Shape With Unknown BRDF CVPR 2014
What Object Motion Reveals about Shape with Unknown BRDF and Lighting CVPR 2013
Dense Object Reconstruction with Semantic Priors CVPR 2013