conftrace_

R. Venkatesh Babu

55 papers · 2014–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🏃 Academic Marathon (11) 🌈 Renaissance Researcher (5)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🏃 Academic Marathon (11) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (24) 🤝 Dynamic Duo (16) 🔬 Deep Specialist (10) 🧬 Topic Evolution 📈 Trend Setter 🔥 Unstoppable (12) 🚀 Conference Pioneer 🗃️ Keyword Collector (195) Prolific Year (5) 💎 Century Club (55)

Conferences

CVPR (24) ECCV (13) ICCV (10) AAAI (3) WACV (3) NIPS (1) UAI (1)

Research topics

Papers

Composing Parts for Expressive Object Generation CVPR 2025 MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection CVPR 2025 Zero-Shot Depth Aware Image Editing with Diffusion Models ICCV 2025 Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning WACV 2024 Balancing Act: Distribution-Guided Debiasing in Diffusion Models CVPR 2024 DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets CVPR 2024 Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks NIPS 2024 Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification CVPR 2024 Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation WACV 2024 RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases CVPR 2023 Inspecting the Geographical Representativeness of Images from Text-to-Image Models ICCV 2023 NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs CVPR 2023 DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks CVPR 2023 Hierarchical Semantic Regularization of Latent Spaces in StyleGANs ECCV 2022 Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation ECCV 2022 Completely Self-Supervised Crowd Counting via Distribution Matching ECCV 2022 Towards Efficient and Effective Self-Supervised Learning of Visual Representations ECCV 2022 LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity WACV 2022 Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation CVPR 2022 Towards Data-Free Model Stealing in a Hard Label Setting CVPR 2022 Improving GANs for Long-Tailed Data through Group Spectral Regularization ECCV 2022 Scaling Adversarial Training to Large Perturbation Bounds ECCV 2022 Deep Implicit Surface Point Prediction Networks ICCV 2021 Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting CVPR 2021 Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation ICCV 2021 S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation ICCV 2021 Class balancing GAN with a classifier in the loop UAI 2021 Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes CVPR 2020 Appearance Consensus Driven Self-Supervised Human Mesh Recovery ECCV 2020 Learning to Count in the Crowd from Limited Labeled Data ECCV 2020 Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation ECCV 2020 Class-Incremental Domain Adaptation ECCV 2020 Towards Practical and Efficient High-Resolution HDR Deghosting with CNN ECCV 2020 Universal Source-Free Domain Adaptation CVPR 2020 Single-Step Adversarial Training With Dropout Scheduling CVPR 2020 Towards Inheritable Models for Open-Set Domain Adaptation CVPR 2020 Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis CVPR 2020 From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks CVPR 2020 FDA: Feature Disruptive Attack ICCV 2019 BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN AAAI 2019 CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision AAAI 2019 GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions ICCV 2019 Almost Unsupervised Learning for Dense Crowd Counting AAAI 2019 UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation ICCV 2019 Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN CVPR 2018 NAG: Network for Adversary Generation CVPR 2018 Gray-box Adversarial Training ECCV 2018 Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions ECCV 2018 AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation CVPR 2018 DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data CVPR 2017 Switching Convolutional Neural Network for Crowd Counting CVPR 2017 DeepFuse: A Deep Unsupervised Approach for Exposure Fusion With Extreme Exposure Image Pairs ICCV 2017 Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation CVPR 2016 Attribute-Graph: A Graph Based Approach to Image Ranking ICCV 2015 SeamSeg: Video Object Segmentation using Patch Seams CVPR 2014