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ORCIDVinay P. Namboodiri
Person information
- affiliation: University of Bath, Department of Computer Science, UK
- affiliation (former): Indian Institute of Technology Kanpur, Department of Computer Science and Engineering, Kanpur, India
- affiliation (former, PhD 2008): Indian Institute of Technology Bombay, India
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2020 – today
- 2024
[j23]Pratik Mazumder
, Pravendra Singh, Piyush Rai, Vinay P. Namboodiri:
Rectification-Based Knowledge Retention for Task Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1561-1575 (2024)- [c115]Sai Niranjan Ramachandran, Rudrabha Mukhopadhyay, Madhav Agarwal, C. V. Jawahar, Vinay P. Namboodiri:
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data. AAAI 2024: 14767-14775 - [c114]Jack R. Saunders, Vinay P. Namboodiri:
FACTS: Facial Animation Creation using the Transfer of Styles. Eurographics (Short Papers) 2024 - [i98]Jack R. Saunders, Vinay P. Namboodiri:
Dubbing for Everyone: Data-Efficient Visual Dubbing using Neural Rendering Priors. CoRR abs/2401.06126 (2024) - [i97]Sindhu B. Hegde, Rudrabha Mukhopadhyay, C. V. Jawahar, Vinay P. Namboodiri:
Towards Accurate Lip-to-Speech Synthesis in-the-Wild. CoRR abs/2403.01087 (2024) - [i96]Badri N. Patro, Vinay P. Namboodiri, Vijay Srinivas Agneeswaran:
Spectral Convolutional Transformer: Harmonizing Real vs. Complex Multi-View Spectral Operators for Vision Transformer. CoRR abs/2403.18063 (2024) - [i95]Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Singh Bedi:
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling. CoRR abs/2404.13423 (2024) - 2023
- [c113]Jack R. Saunders, Vinay P. Namboodiri:
READ Avatars: Realistic Emotion-controllable Audio Driven Avatars. BMVC 2023: 216-225 - [c112]Avideep Mukherjee, Badri N. Patro, Vinay P. Namboodiri:
Attentive Contractive Flow with Lipschitz Constrained Self-Attention. BMVC 2023: 276-281 - [c111]Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri:
Streaming LifeLong Learning With Any-Time Inference. ICRA 2023: 9486-9492 - [c110]Sindhu B. Hegde, Rudrabha Mukhopadhyay, C. V. Jawahar, Vinay P. Namboodiri:
Towards Accurate Lip-to-Speech Synthesis in-the-Wild. ACM Multimedia 2023: 5523-5531 - [c109]Aditya Agarwal, Bipasha Sen, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Towards MOOCs for Lipreading: Using Synthetic Talking Heads to Train Humans in Lipreading at Scale. WACV 2023: 2216-2225 - [c108]Aditya Agarwal, Bipasha Sen, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
FaceOff: A Video-to-Video Face Swapping System. WACV 2023: 3484-3493 - [c107]Madhav Agarwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Audio-Visual Face Reenactment. WACV 2023: 5167-5176 - [c106]Anchit Gupta, Rudrabha Mukhopadhyay, Sindhu Balachandra, Faizan Farooq Khan, Vinay P. Namboodiri, C. V. Jawahar:
Towards Generating Ultra-High Resolution Talking-Face Videos with Lip synchronization. WACV 2023: 5198-5207 - [i94]Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri:
Streaming LifeLong Learning With Any-Time Inference. CoRR abs/2301.11892 (2023) - [i93]Jack R. Saunders, Vinay P. Namboodiri:
READ Avatars: Realistic Emotion-controllable Audio Driven Avatars. CoRR abs/2303.00744 (2023) - [i92]Utsav Singh, Vinay P. Namboodiri:
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction for Hierarchical Reinforcement Learning. CoRR abs/2304.03535 (2023) - [i91]Badri N. Patro, Vinay P. Namboodiri, Vijay Srinivas Agneeswaran:
SpectFormer: Frequency and Attention is what you need in a Vision Transformer. CoRR abs/2304.06446 (2023) - [i90]Utsav Singh, Vinay P. Namboodiri:
PEAR: Primitive enabled Adaptive Relabeling for boosting Hierarchical Reinforcement Learning. CoRR abs/2306.06394 (2023) - [i89]Jack R. Saunders, Steven Caulkin, Vinay P. Namboodiri:
FACTS: Facial Animation Creation using the Transfer of Styles. CoRR abs/2307.09480 (2023) - [i88]Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai:
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. CoRR abs/2309.08227 (2023) - [i87]Cangxiong Chen, Vinay P. Namboodiri, Julian A. Padget:
Understanding the Vulnerability of CLIP to Image Compression. CoRR abs/2311.14029 (2023) - 2022
- [j22]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Few-shot image classification with composite rotation based self-supervised auxiliary task. Neurocomputing 489: 179-195 (2022) - [j21]Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Context extraction module for deep convolutional neural networks. Pattern Recognit. 122: 108284 (2022) - [j20]Badri N. Patro, Anupriy, Vinay P. Namboodiri:
Explanation vs. attention: A two-player game to obtain attention for VQA and visual dialog. Pattern Recognit. 132: 108898 (2022) - [j19]Bipasha Sen, Aditya Agarwal, Vinay P. Namboodiri, C. V. Jawahar:
INR-V: A Continuous Representation Space for Video-based Generative Tasks. Trans. Mach. Learn. Res. 2022 (2022) - [c105]Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri:
Gradient Based Activations for Accurate Bias-Free Learning. AAAI 2022: 7255-7262 - [c104]Madhav Agarwal, Anchit Gupta, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Compressing Video Calls using Synthetic Talking Heads. BMVC 2022: 289 - [c103]Ravindra Yadav, Ashish Sardana, Vinay P. Namboodiri, Rajesh M. Hegde:
Learning to Predict Speech in Silent Videos Via Audiovisual Analogy. ICASSP 2022: 8042-8046 - [c102]Munender Varshney, Ravindra Yadav, Vinay P. Namboodiri, Rajesh M. Hegde:
Learning Speaker-specific Lip-to-Speech Generation. ICPR 2022: 491-498 - [c101]Kirandevraj R, Vinod Kumar Kurmi, Vinay P. Namboodiri, C. V. Jawahar:
Generalized Keyword Spotting using ASR embeddings. INTERSPEECH 2022: 126-130 - [c100]Sumit Negi, Manisha Verma, Rajdeep H. Banerjee, Pooja A, Lydia B. Chilton, Mithun Das Gupta, Vinay P. Namboodiri, Dinesh Garg:
First Workshop on Content Understanding and Generation for E-commerce. KDD 2022: 4888-4889 - [c99]Sindhu B. Hegde, K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild. ACM Multimedia 2022: 6250-6258 - [c98]Sindhu B. Hegde, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors. ACM Multimedia 2022: 6511-6520 - [c97]Sumit Kumar, Badri N. Patro, Vinay P. Namboodiri:
Auto QA: The Question Is Not Only What, but Also Where. WACV (Workshops) 2022: 272-281 - [c96]Vivek Gupta, Badri N. Patro, Hemant Parihar, Vinay P. Namboodiri:
VQuAD: Video Question Answering Diagnostic Dataset. WACV (Workshops) 2022: 282-291 - [c95]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. WACV 2022: 3889-3897 - [i86]Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri:
Gradient Based Activations for Accurate Bias-Free Learning. CoRR abs/2202.10943 (2022) - [i85]Munender Varshney, Ravindra Yadav, Vinay P. Namboodiri, Rajesh M. Hegde:
Learning Speaker-specific Lip-to-Speech Generation. CoRR abs/2206.02050 (2022) - [i84]Sindhu B. Hegde, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors. CoRR abs/2208.08118 (2022) - [i83]Aditya Agarwal, Bipasha Sen, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
FaceOff: A Video-to-Video Face Swapping System. CoRR abs/2208.09788 (2022) - [i82]Aditya Agarwal, Bipasha Sen, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Towards MOOCs for Lip Reading: Using Synthetic Talking Heads to Train Humans in Lipreading at Scale. CoRR abs/2208.09796 (2022) - [i81]Sindhu B. Hegde, K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild. CoRR abs/2209.00642 (2022) - [i80]Madhav Agarwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Audio-Visual Face Reenactment. CoRR abs/2210.02755 (2022) - [i79]Madhav Agarwal, Anchit Gupta, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Compressing Video Calls using Synthetic Talking Heads. CoRR abs/2210.03692 (2022) - [i78]Bipasha Sen, Aditya Agarwal, Vinay P. Namboodiri, C. V. Jawahar:
INR-V: A Continuous Representation Space for Video-based Generative Tasks. CoRR abs/2210.16579 (2022) - 2021
- [j18]Badri N. Patro, Dev Chauhan, Vinod K. Kurmi, Vinay P. Namboodiri:
Revisiting paraphrase question generator using pairwise discriminator. Neurocomputing 420: 149-161 (2021) - [j17]Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim, Vinay P. Namboodiri:
Calibrating feature maps for deep CNNs. Neurocomputing 438: 235-247 (2021) - [j16]Vinod Kumar Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Exploring dropout discriminator for domain adaptation. Neurocomputing 457: 168-181 (2021) - [j15]Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Informative discriminator for domain adaptation. Image Vis. Comput. 111: 104180 (2021) - [j14]Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri:
MUMC: Minimizing uncertainty of mixture of cues. Image Vis. Comput. 115: 104280 (2021) - [j13]Badri N. Patro, Anupriy, Vinay P. Namboodiri:
Probabilistic framework for solving visual dialog. Pattern Recognit. 110: 107586 (2021) - [j12]Badri Narayana Patro, Mayank Lunayach, Vinay P. Namboodiri:
Uncertainty Class Activation Map (U-CAM) Using Gradient Certainty Method. IEEE Trans. Image Process. 30: 1910-1924 (2021) - [c94]Zeeshan Khan, Kartheek Akella, Vinay P. Namboodiri, C. V. Jawahar:
More Parameters? No Thanks! ACL/IJCNLP (Findings) 2021: 96-102 - [c93]Rudrabha Mukhopadhyay, Sindhu B. Hegde, Vinay P. Namboodiri, C. V. Jawahar:
Audio-Visual Speech Super-Resolution. BMVC 2021: 0 - [c92]Bharat Bhusan Sau, Soumya Roy, Vinay P. Namboodiri, Raghu Sesha Iyengar:
Deep Knowledge Distillation using Trainable Dense Attention. BMVC 2021: 72 - [c91]Bipasha Sen, Aditya Agarwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Personalized One-Shot Lipreading for an ALS Patient. BMVC 2021: 428 - [c90]Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C. V. Jawahar:
Revisiting Low Resource Status of Indian Languages in Machine Translation. COMAD/CODS 2021: 178-187 - [c89]Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri:
Rectification-Based Knowledge Retention for Continual Learning. CVPR 2021: 15282-15291 - [c88]Vinod K. Kurmi, Vipul Bajaj, Badri N. Patro, K. S. Venkatesh, Vinay P. Namboodiri, Preethi Jyothi:
Collaborative Learning to Generate Audio-Video Jointly. ICASSP 2021: 4180-4184 - [c87]Ravindra Yadav, Ashish Sardana, Vinay P. Namboodiri, Rajesh M. Hegde:
Speech Prediction in Silent Videos Using Variational Autoencoders. ICASSP 2021: 7048-7052 - [c86]Anchit Gupta, Faizan Farooq Khan, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Intelligent video editing: incorporating modern talking face generation algorithms in a video editor. ICVGIP 2021: 25:1-25:9 - [c85]Seshadri Mazumder, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Translating sign language videos to talking faces. ICVGIP 2021: 27:1-27:10 - [c84]Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. IJCAI 2021: 2621-2627 - [c83]Parul Kapoor, Rudrabha Mukhopadhyay, Sindhu B. Hegde, Vinay P. Namboodiri, C. V. Jawahar:
Towards Automatic Speech to Sign Language Generation. Interspeech 2021: 3700-3704 - [c82]Badri N. Patro, Mayank Lunayach, Deepankar Srivastava, Sarvesh, Hunar Singh, Vinay P. Namboodiri:
Multimodal Humor Dataset: Predicting Laughter tracks for Sitcoms. WACV 2021: 576-585 - [c81]Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Domain Impression: A Source Data Free Domain Adaptation Method. WACV 2021: 615-625 - [c80]Badri N. Patro, G. S. Kasturi, Ansh Jain, Vinay P. Namboodiri:
Self Supervision for Attention Networks. WACV 2021: 726-735 - [c79]Vinod K. Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Do not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting. WACV 2021: 736-745 - [c78]Sindhu B. Hegde, K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Visual Speech Enhancement Without A Real Visual Stream. WACV 2021: 1925-1934 - [c77]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. WACV 2021: 2653-2662 - [c76]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
RNNP: A Robust Few-Shot Learning Approach. WACV 2021: 2663-2672 - [c75]Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri:
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. WACV 2021: 3089-3098 - [c74]Raghav Brahmadesam Venkataramaiyer, Abhishek Joshi, Saisha Narang, Vinay P. Namboodiri:
SHAD3S: A model to Sketch, Shade and Shadow. WACV 2021: 3615-3624 - [i77]Vinod K. Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting. CoRR abs/2102.01906 (2021) - [i76]Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Domain Impression: A Source Data Free Domain Adaptation Method. CoRR abs/2102.09003 (2021) - [i75]Swaroop Panda, Vinay P. Namboodiri, Shatarupa Thakurta Roy:
Visualizing Music Genres using a Topic Model. CoRR abs/2103.00127 (2021) - [i74]Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri:
Rectification-based Knowledge Retention for Continual Learning. CoRR abs/2103.16597 (2021) - [i73]Vinod K. Kurmi, Vipul Bajaj, Badri N. Patro, K. S. Venkatesh, Vinay P. Namboodiri, Preethi Jyothi:
Collaborative Learning to Generate Audio-Video Jointly. CoRR abs/2104.02656 (2021) - [i72]Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. CoRR abs/2106.06795 (2021) - [i71]Parul Kapoor, Rudrabha Mukhopadhyay, Sindhu B. Hegde, Vinay P. Namboodiri, C. V. Jawahar:
Towards Automatic Speech to Sign Language Generation. CoRR abs/2106.12790 (2021) - [i70]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. CoRR abs/2107.00067 (2021) - [i69]Shanu Kumar, Vinod Kumar Kurmi, Praphul Singh, Vinay P. Namboodiri:
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation. CoRR abs/2107.00727 (2021) - [i68]Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Exploring Dropout Discriminator for Domain Adaptation. CoRR abs/2107.04231 (2021) - [i67]Blessen George, Vinod K. Kurmi, Vinay P. Namboodiri:
Prb-GAN: A Probabilistic Framework for GAN Modelling. CoRR abs/2107.05241 (2021) - [i66]Zeeshan Khan, Kartheek Akella, Vinay P. Namboodiri, C. V. Jawahar:
More Parameters? No Thanks! CoRR abs/2107.09622 (2021) - [i65]Avideep Mukherjee, Badri Narayana Patro, Sahil Sidheekh, Maneesh Singh, Vinay P. Namboodiri:
Attentive Contractive Flow: Improved Contractive Flows with Lipschitz-constrained Self-Attention. CoRR abs/2109.12135 (2021) - [i64]Anchit Gupta, Faizan Farooq Khan, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor. CoRR abs/2110.08580 (2021) - [i63]Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri:
Class Incremental Online Streaming Learning. CoRR abs/2110.10741 (2021) - [i62]Bipasha Sen, Aditya Agarwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Personalized One-Shot Lipreading for an ALS Patient. CoRR abs/2111.01740 (2021) - 2020
- [j11]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. Int. J. Comput. Vis. 128(8): 2068-2088 (2020) - [j10]Pravendra Singh, Vinay Sameer Raja Kadi, Vinay P. Namboodiri:
FALF ConvNets: Fatuous auxiliary loss based filter-pruning for efficient deep CNNs. Image Vis. Comput. 93: 103857 (2020) - [j9]Pravendra Singh, Prem Raj, Vinay P. Namboodiri:
EDS pooling layer. Image Vis. Comput. 98: 103923 (2020) - [j8]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
GIFSL - grafting based improved few-shot learning. Image Vis. Comput. 104: 104006 (2020) - [j7]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. IEEE J. Sel. Top. Signal Process. 14(4): 838-847 (2020) - [c73]Badri N. Patro, Anupriy, Vinay P. Namboodiri:
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA. AAAI 2020: 11848-11855 - [c72]Ankit Jha, Awanish Kumar, Biplab Banerjee, Vinay P. Namboodiri:
SD-MTCNN: Self-Distilled Multi-Task CNN. BMVC 2020 - [c71]Samik Some, Mithun Das Gupta, Vinay P. Namboodiri:
Determinantal Point Process as an alternative to NMS. BMVC 2020 - [c70]Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri:
Minimizing Supervision in Multi-label Categorization. CVPR Workshops 2020: 93-102 - [c69]K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis. CVPR 2020: 13793-13802 - [c68]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
CPWC: Contextual Point Wise Convolution for Object Recognition. ICASSP 2020: 4152-4156 - [c67]Kartheek Akella, Sai Himal Allu, Sridhar Suresh Ragupathi, Aman Singhal, Zeeshan Khan, C. V. Jawahar, Vinay P. Namboodiri:
Exploring Pair-Wise NMT for Indian Languages. ICON 2020: 437-443 - [c66]Binu Jasim, Vinay P. Namboodiri, C. V. Jawahar:
PhraseOut: A Code Mixed Data Augmentation Method for MultilingualNeural Machine Tranlsation. ICON 2020: 470-474 - [c65]Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. IJCNN 2020: 1-8 - [c64]Pravendra Singh, Vinay P. Namboodiri:
SkipConv: Skip Convolution for Computationally Efficient Deep CNNs. IJCNN 2020: 1-8 - [c63]Ravindra Yadav, Ashish Sardana, Vinay P. Namboodiri, Rajesh M. Hegde:
Stochastic Talking Face Generation Using Latent Distribution Matching. INTERSPEECH 2020: 1311-1315 - [c62]Prem Raj, Vinay P. Namboodiri, Laxmidhar Behera:
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing. IROS 2020: 10210-10217 - [c61]Shashank Siripragada, Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar:
A Multilingual Parallel Corpora Collection Effort for Indian Languages. LREC 2020: 3743-3751 - [c60]K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild. ACM Multimedia 2020: 484-492 - [c59]Riddhiman Dasgupta, Francis Tom, Sudhir Kumar, Mithun Das Gupta, Yokesh Kumar, Badri N. Patro, Vinay P. Namboodiri:
Visually Precise Query. ACM Multimedia 2020: 3550-3558 - [c58]Arnab Ghosh, Harkirat S. Behl, Emilien Dupont, Philip H. S. Torr, Vinay P. Namboodiri:
STEER : Simple Temporal Regularization For Neural ODE. NeurIPS 2020 - [c57]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. WACV 2020: 824-833 - [c56]Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Accuracy Booster: Performance Boosting using Feature Map Re-calibration. WACV 2020: 873-882 - [c55]Pravendra Singh, Munender Varshney, Vinay P. Namboodiri:
Cooperative Initialization based Deep Neural Network Training. WACV 2020: 1130-1139 - [c54]Ravindra Yadav, Ashish Sardana, Vinay P. Namboodiri, Rajesh M. Hegde:
Bridged Variational Autoencoders for Joint Modeling of Images and Attributes. WACV 2020: 1468-1476 - [c53]Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri:
Deep Bayesian Network for Visual Question Generation. WACV 2020: 1555-1565 - [c52]Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri:
Robust Explanations for Visual Question Answering. WACV 2020: 1566-1575 - [c51]Raghav Brahmadesam Venkataramaiyer, Subham Kumar, Vinay P. Namboodiri:
Can I teach a robot to replicate a line art. WACV 2020: 1922-1930 - [c50]Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. WACV 2020: 2998-3007 - [c49]Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. WACV 2020: 3017-3031 - [i61]Pravendra Singh, Munender Varshney, Vinay P. Namboodiri:
Cooperative Initialization based Deep Neural Network Training. CoRR abs/2001.01240 (2020) - [i60]Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. CoRR abs/2001.05545 (2020) - [i59]Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri:
Robust Explanations for Visual Question Answering. CoRR abs/2001.08730 (2020) - [i58]Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri:
Deep Bayesian Network for Visual Question Generation. CoRR abs/2001.08779 (2020) - [i57]Badri N. Patro, Mayank Lunayach, Vinay P. Namboodiri:
Uncertainty based Class Activation Maps for Visual Question Answering. CoRR abs/2002.10309 (2020) - [i56]K. R. Prajwal, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay P. Namboodiri, C. V. Jawahar:
Towards Automatic Face-to-Face Translation. CoRR abs/2003.00418 (2020) - [i55]Arpan Mangal, Surya Kalia, Harish Rajgopal, Krithika Rangarajan, Vinay P. Namboodiri, Subhashis Banerjee, Chetan Arora:
CovidAID: COVID-19 Detection Using Chest X-Ray. CoRR abs/2004.09803 (2020) - [i54]K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis. CoRR abs/2005.08209 (2020) - [i53]Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri:
Minimizing Supervision in Multi-label Categorization. CoRR abs/2005.12892 (2020) - [i52]Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri:
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. CoRR abs/2005.13402 (2020) - [i51]Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. CoRR abs/2006.04406 (2020) - [i50]Arnab Ghosh, Harkirat Singh Behl, Emilien Dupont, Philip H. S. Torr, Vinay P. Namboodiri:
STEER : Simple Temporal Regularization For Neural ODEs. CoRR abs/2006.10711 (2020) - [i49]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. CoRR abs/2006.15919 (2020) - [i48]Prem Raj, Vinay P. Namboodiri, Laxmidhar Behera:
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing. CoRR abs/2007.04645 (2020) - [i47]Shashank Siripragada, Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar:
A Multilingual Parallel Corpora Collection Effort for Indian Languages. CoRR abs/2007.07691 (2020) - [i46]Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C. V. Jawahar:
Revisiting Low Resource Status of Indian Languages in Machine Translation. CoRR abs/2008.04860 (2020) - [i45]K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild. CoRR abs/2008.10010 (2020) - [i44]Samik Some, Mithun Das Gupta, Vinay P. Namboodiri:
Determinantal Point Process as an alternative to NMS. CoRR abs/2008.11451 (2020) - [i43]Raghav Brahmadesam Venkataramaiyer, Abhishek Joshi, Saisha Narang, Vinay P. Namboodiri:
SHAD3S: A model to Sketch, Shade and Shadow. CoRR abs/2011.06822 (2020) - [i42]Ravindra Yadav, Ashish Sardana, Vinay P. Namboodiri, Rajesh M. Hegde:
Speech Prediction in Silent Videos using Variational Autoencoders. CoRR abs/2011.07340 (2020) - [i41]Ravindra Yadav, Ashish Sardana, Vinay P. Namboodiri, Rajesh M. Hegde:
Stochastic Talking Face Generation Using Latent Distribution Matching. CoRR abs/2011.10727 (2020) - [i40]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
RNNP: A Robust Few-Shot Learning Approach. CoRR abs/2011.11067 (2020) - [i39]Kartheek Akella, Sai Himal Allu, Sridhar Suresh Ragupathi, Aman Singhal, Zeeshan Khan, Vinay P. Namboodiri, C. V. Jawahar:
Exploring Pair-Wise NMT for Indian Languages. CoRR abs/2012.05786 (2020) - [i38]Sindhu B. Hegde, K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Visual Speech Enhancement Without A Real Visual Stream. CoRR abs/2012.10852 (2020)
2010 – 2019
- 2019
- [j6]Abhishek Jha, Vinay P. Namboodiri, C. V. Jawahar:
Spotting words in silent speech videos: a retrieval-based approach. Mach. Vis. Appl. 30(2): 217-229 (2019) - [c48]Jerin Philip, Shashank Siripragada, Upendra Kumar, Vinay P. Namboodiri, C. V. Jawahar:
CVIT's submissions to WAT-2019. WAT@EMNLP-IJCNLP 2019: 131-136 - [c47]Vinod Kumar Kurmi, Vipul Bajaj, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Curriculum based Dropout Discriminator for Domain Adaptation. BMVC 2019: 63 - [c46]Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri:
Attending to Discriminative Certainty for Domain Adaptation. CVPR 2019: 491-500 - [c45]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CVPR 2019: 4835-4844 - [c44]Abhishek Jha, Vikram Voleti, Vinay P. Namboodiri, C. V. Jawahar:
Cross-language Speech Dependent Lip-synchronization. ICASSP 2019: 7140-7144 - [c43]Badri N. Patro, Mayank Lunayach, Shivansh Patel, Vinay P. Namboodiri:
U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps. ICCV 2019: 7443-7452 - [c42]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. IJCAI 2019: 3460-3466 - [c41]Abhishek Joshi, Vinay P. Namboodiri:
Unsupervised Synthesis of Anomalies in Videos: Transforming the Normal. IJCNN 2019: 1-8 - [c40]Vinod Kumar Kurmi, Vinay P. Namboodiri:
Looking back at Labels: A Class based Domain Adaptation Technique. IJCNN 2019: 1-8 - [c39]K. R. Prajwal, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay P. Namboodiri, C. V. Jawahar:
Towards Automatic Face-to-Face Translation. ACM Multimedia 2019: 1428-1436 - [c38]Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri:
Stability Based Filter Pruning for Accelerating Deep CNNs. WACV 2019: 1166-1174 - [c37]Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri:
Multi-Layer Pruning Framework for Compressing Single Shot MultiBox Detector. WACV 2019: 1318-1327 - [i37]Saurabh Srivastava, Vinay P. Namboodiri, Tadinada Vankata Prabhakar:
PUTWorkbench: Analysing Privacy in AI-intensive Systems. CoRR abs/1902.01580 (2019) - [i36]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CoRR abs/1903.04120 (2019) - [i35]Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Accuracy Booster: Performance Boosting using Feature Map Re-calibration. CoRR abs/1903.04407 (2019) - [i34]Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar:
CVIT-MT Systems for WAT-2018. CoRR abs/1903.07917 (2019) - [i33]Vinod Kumar Kurmi, Vinay P. Namboodiri:
Looking back at Labels: A Class based Domain Adaptation Technique. CoRR abs/1904.01341 (2019) - [i32]Abhishek Joshi, Vinay P. Namboodiri:
Unsupervised Synthesis of Anomalies in Videos: Transforming the Normal. CoRR abs/1904.06633 (2019) - [i31]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. CoRR abs/1905.04446 (2019) - [i30]Aadil Hayat, Utsav Singh, Vinay P. Namboodiri:
InfoRL: Interpretable Reinforcement Learning using Information Maximization. CoRR abs/1905.10404 (2019) - [i29]Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri:
Attending to Discriminative Certainty for Domain Adaptation. CoRR abs/1906.03502 (2019) - [i28]Vinod Kumar Kurmi, Vipul Bajaj, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Curriculum based Dropout Discriminator for Domain Adaptation. CoRR abs/1907.10628 (2019) - [i27]Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar:
A Baseline Neural Machine Translation System for Indian Languages. CoRR abs/1907.12437 (2019) - [i26]Badri N. Patro, Mayank Lunayach, Shivansh Patel, Vinay P. Namboodiri:
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps. CoRR abs/1908.06306 (2019) - [i25]Badri N. Patro, Anupriy, Vinay P. Namboodiri:
Probabilistic framework for solving Visual Dialog. CoRR abs/1909.04800 (2019) - [i24]Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri:
Granular Multimodal Attention Networks for Visual Dialog. CoRR abs/1910.05728 (2019) - [i23]Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri:
Dynamic Attention Networks for Task Oriented Grounding. CoRR abs/1910.06315 (2019) - [i22]Raghav Brahmadesam Venkataramaiyer, Subham Kumar, Vinay P. Namboodiri:
Can I teach a robot to replicate a line art. CoRR abs/1910.07860 (2019) - [i21]Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
CPWC: Contextual Point Wise Convolution for Object Recognition. CoRR abs/1910.09643 (2019) - [i20]Badri N. Patro, Anupriy, Vinay P. Namboodiri:
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA. CoRR abs/1911.08618 (2019) - [i19]Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. CoRR abs/1912.07991 (2019) - [i18]Badri N. Patro, Vinay P. Namboodiri:
Deep Exemplar Networks for VQA and VQG. CoRR abs/1912.09551 (2019) - [i17]Badri N. Patro, Dev Chauhan, Vinod K. Kurmi, Vinay P. Namboodiri:
Revisiting Paraphrase Question Generator using Pairwise Discriminator. CoRR abs/1912.13149 (2019) - 2018
- [j5]Arshad Jamal, Dipti Deodhare, Vinay P. Namboodiri, Venkatesh K. Subramanian:
Eclectic domain mixing for effective adaptation in action spaces. Multim. Tools Appl. 77(22): 29949-29969 (2018) - [c36]Shashank Sharma, Vinay P. Namboodiri:
No Modes Left Behind: Capturing the Data Distribution Effectively Using GANs. AAAI 2018: 4042-4049 - [c35]Arshad Jamal, Vinay P. Namboodiri, Dipti Deodhare, K. S. Venkatesh:
U-DADA: Unsupervised Deep Action Domain Adaptation. ACCV (3) 2018: 444-459 - [c34]Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar:
CVIT-MT Systems for WAT-2018. WAT@PACLIC 2018 - [c33]Soumya Roy, Asim Unmesh, Vinay P. Namboodiri:
Deep active learning for object detection. BMVC 2018: 91 - [c32]Arshad Jamal, Vinay P. Namboodiri, Dipti Deodhare, K. S. Venkatesh:
Deep Domain Adaptation in Action Space. BMVC 2018: 264 - [c31]Badri Narayana Patro, Vinod Kumar Kurmi, Sandeep Kumar, Vinay P. Namboodiri:
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator. COLING 2018: 2715-2729 - [c30]Badri N. Patro, Vinay P. Namboodiri:
Differential Attention for Visual Question Answering. CVPR 2018: 7680-7688 - [c29]Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri, Philip H. S. Torr, Puneet Kumar Dokania:
Multi-Agent Diverse Generative Adversarial Networks. CVPR 2018: 8513-8521 - [c28]Badri Narayana Patro, Sandeep Kumar, Vinod Kumar Kurmi, Vinay P. Namboodiri:
Multimodal Differential Network for Visual Question Generation. EMNLP 2018: 4002-4012 - [c27]Debjeet Majumdar, Vinay P. Namboodiri:
Unsupervised domain adaptation of deep object detectors. ESANN 2018 - [c26]Laxmi Pandey, Anurendra Kumar, Vinay P. Namboodiri:
Monoaural Audio Source Separation Using Variational Autoencoders. INTERSPEECH 2018: 3489-3493 - [c25]Abhishek Jha, Vinay P. Namboodiri, C. V. Jawahar:
Word Spotting in Silent Lip Videos. WACV 2018: 150-159 - [i16]Shashank Sharma, Vinay P. Namboodiri:
No Modes left behind: Capturing the data distribution effectively using GANs. CoRR abs/1802.00771 (2018) - [i15]Badri N. Patro, Vinay P. Namboodiri:
Differential Attention for Visual Question Answering. CoRR abs/1804.00298 (2018) - [i14]Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri:
Learning Semantic Sentence Embeddings using Pair-wise Discriminator. CoRR abs/1806.00807 (2018) - [i13]Badri N. Patro, Sandeep Kumar, Vinod K. Kurmi, Vinay P. Namboodiri:
Multimodal Differential Network for Visual Question Generation. CoRR abs/1808.03986 (2018) - [i12]Pravendra Singh, Vinay Sameer Raja Kadi, Nikhil Verma, Vinay P. Namboodiri:
Stability Based Filter Pruning for Accelerating Deep CNNs. CoRR abs/1811.08321 (2018) - [i11]Pravendra Singh, Manikandan R, Neeraj Matiyali, Vinay P. Namboodiri:
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector. CoRR abs/1811.08342 (2018) - [i10]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. CoRR abs/1811.10559 (2018) - 2017
- [j4]Rahul Arora, I. Darolia, Vinay P. Namboodiri, Karan Singh, Adrien Bousseau:
SketchSoup: Exploratory Ideation Using Design Sketches. Comput. Graph. Forum 36(8): 302-312 (2017) - [c24]Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal:
Contextual RNN-GANs for Abstract Reasoning Diagram Generation. AAAI 2017: 1382-1388 - [c23]Unnat Jain, Vinay P. Namboodiri, Gaurav Pandey:
Compact Environment-Invariant Codes for Robust Visual Place Recognition. CRV 2017: 40-47 - [c22]G. S. S. Srinivas Rao, Neeraj Thakur, Vinay P. Namboodiri:
Reactive Displays for Virtual Reality. ISMAR Adjunct 2017: 63-68 - [c21]Prachi Rani, Arpit Jangid, Vinay P. Namboodiri, K. S. Venkatesh:
Visual Odometry Based Omni-directional Hyperlapse. NCVPRIPG 2017: 3-13 - [i9]Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri, Philip H. S. Torr, Puneet Kumar Dokania:
Multi-Agent Diverse Generative Adversarial Networks. CoRR abs/1704.02906 (2017) - [i8]Prabuddha Chakraborty, Vinay P. Namboodiri:
Learning to Estimate Pose by Watching Videos. CoRR abs/1704.04081 (2017) - [i7]Unnat Jain, Vinay P. Namboodiri, Gaurav Pandey:
Compact Environment-Invariant Codes for Robust Visual Place Recognition. CoRR abs/1709.08103 (2017) - 2016
- [c20]Yeshi Dolma, Vinay P. Namboodiri:
Using Gaussian Processes to Improve Zero-Shot Learning with Relative Attributes. ACCV (5) 2016: 150-164 - [c19]Aishwarya Jadhav, Vinay P. Namboodiri, K. S. Venkatesh:
Deep Attributes for One-Shot Face Recognition. ECCV Workshops (3) 2016: 516-523 - [i6]Ayush Mittal, Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars:
Unsupervised Domain Adaptation in the Wild: Dealing with Asymmetric Label Sets. CoRR abs/1603.08105 (2016) - [i5]Arnab Ghosh, Viveka Kulharia, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal:
Contextual RNN-GANs for Abstract Reasoning Diagram Generation. CoRR abs/1609.09444 (2016) - [i4]Soumya Roy, Vinay P. Namboodiri, Arijit Biswas:
Active learning with version spaces for object detection. CoRR abs/1611.07285 (2016) - [i3]Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri:
Message Passing Multi-Agent GANs. CoRR abs/1612.01294 (2016) - 2015
- [c18]Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars:
Subspace Alignment Based Domain Adaptation for RCNN Detector. BMVC 2015: 166.1-166.11 - [c17]Subhabrata Debnath, Anjan Banerjee, Vinay P. Namboodiri:
Adapting RANSAC SVM to Detect Outliers for Robust Classification. BMVC 2015: 168.1-168.11 - [c16]Deepak Pathak, Sai Nitish Satyavolu, Vinay P. Namboodiri:
Where is my friend? - Person identification in social networks. FG 2015: 1-8 - [i2]Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars:
Mind the Gap: Subspace based Hierarchical Domain Adaptation. CoRR abs/1501.03952 (2015) - [i1]Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars:
Subspace Alignment Based Domain Adaptation for RCNN Detector. CoRR abs/1507.05578 (2015) - 2014
- [j3]Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Object and Action Classification with Latent Window Parameters. Int. J. Comput. Vis. 106(3): 237-251 (2014) - [c15]Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri, Tinne Tuytelaars, Luc Van Gool:
Object Classification with Adaptable Regions. CVPR 2014: 3662-3669 - 2013
- [c14]Vincent De Smet, Luc Van Gool, Vinay P. Namboodiri:
Nonuniform image patch exemplars for low level vision. WACV 2013: 23-30 - 2012
- [c13]Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Classification with Global, Local and Shared Features. DAGM/OAGM Symposium 2012: 134-143 - 2011
- [c12]Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Object and Action Classification with Latent Variables. BMVC 2011: 1-11 - [c11]Vinay P. Namboodiri, Vincent De Smet, Luc Van Gool:
Systematic evaluation of super-resolution using classification. VCIP 2011: 1-4 - [c10]Hakan Bilen, Vinay P. Namboodiri, Luc Van Gool:
Action recognition: A region based approach. WACV 2011: 294-300
2000 – 2009
- 2008
- [c9]Vinay P. Namboodiri, Subhasis Chaudhuri:
Recovery of relative depth from a single observation using an uncalibrated (real-aperture) camera. CVPR 2008 - [c8]Vinay P. Namboodiri, Subhasis Chaudhuri, Sunil Hadap:
Regularized depth from defocus. ICIP 2008: 1520-1523 - 2007
- [j2]Rajashekhar, Subhasis Chaudhuri, Vinay P. Namboodiri:
Retrieval of images of man-made structures based on projective invariance. Pattern Recognit. 40(1): 296-308 (2007) - [j1]Vinay P. Namboodiri, Subhasis Chaudhuri:
On defocus, diffusion and depth estimation. Pattern Recognit. Lett. 28(3): 311-319 (2007) - [c7]Vinay P. Namboodiri, Subhasis Chaudhuri:
Shape Recovery Using Stochastic Heat Flow. BMVC 2007: 1-10 - [c6]Vinay P. Namboodiri, Subhasis Chaudhuri:
Image Restoration using Geometrically Stabilized Reverse Heat Equation. ICIP (4) 2007: 413-416 - [c5]Priyam Chatterjee, Vinay P. Namboodiri, Subhasis Chaudhuri:
Super-Resolution Using Sub-band Constrained Total Variation. SSVM 2007: 616-627 - 2006
- [c4]Vinay P. Namboodiri, Amit Ghorawat, Subhasis Chaudhuri:
Improved Kernel-Based Object Tracking Under Occluded Scenarios. ICVGIP 2006: 504-515 - 2005
- [c3]Vinay P. Namboodiri, Subhasis Chaudhuri:
Shock Filters Based on Implicit Cluster Separation. CVPR (1) 2005: 82-87 - 2004
- [c2]S. Rajashekhar, Subhasis Chaudhuri, Vinay P. Namboodiri:
Image retrieval based on projective invariance. ICIP 2004: 405-408 - [c1]Vinay P. Namboodiri, Subhasis Chaudhuri:
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue. ICVGIP 2004: 133-138
Coauthor Index
[c115] [i97] [c110] [c109] [c108] [c107] [c106] [j19] [c104] [c101] [c99] [c98] [i84] [i83] [i82] [i81] [i80] [i79] [i78] [c94] [c93] [c91] [c90] [c86] [c85] [c83] [c78] [i71] [i66] [i64] [i62] [c69] [c67] [c66] [c61] [c60] [i56] [i54] [i47] [i46] [i45] [i39] [i38] [j6] [c48] [c44] [c39] [i34] [i27] [c34] [c25]
Vinod K. Kurmi
aka: Vinod Kumar Kurmi
aka: Vinod Kumar Kurmi
Badri Narayana Patro
aka: Badri N. Patro
aka: Badri N. Patro
K. S. Venkatesh
aka: Venkatesh K. Subramanian
aka: Venkatesh K. Subramanian
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