Search Results - "Jawahar, C.V."

Improved Road Connectivity by Joint Learning of Orientation and Segmentation by Batra, Anil, Singh, Suriya, Pang, Guan, Basu, Saikat, Jawahar, C.V., Paluri, Manohar

“…Road network extraction from satellite images often produce fragmented road segments leading to road maps unfit for real applications. Pixel-wise…”
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Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis by Prajwal, K R, Mukhopadhyay, Rudrabha, Namboodiri, Vinay P., Jawahar, C.V.

“…Humans involuntarily tend to infer parts of the conversation from lip movements when the speech is absent or corrupted by external noise. In this work, we…”
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Scene Text Visual Question Answering by Biten, Ali Furkan, Tito, Ruben, Mafla, Andres, Gomez, Lluis, Rusinol, Marcal, Jawahar, C.V., Valveny, Ernest, Karatzas, Dimosthenis

“…Current visual question answering datasets do not consider the rich semantic information conveyed by text within an image. In this work, we present a new…”
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Dissimilarity Coefficient Based Weakly Supervised Object Detection by Arun, Aditya, Jawahar, C.V., Kumar, M. Pawan

“…We consider the problem of weakly supervised object detection, where the training samples are annotated using only image-level labels that indicate the…”
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Universal Semi-Supervised Semantic Segmentation by Kalluri, Tarun, Varma, Girish, Chandraker, Manmohan, Jawahar, C.V.

“…In recent years, the need for semantic segmentation has arisen across several different applications and environments. However, the expense and redundancy of…”
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Efficient Optimization for Rank-Based Loss Functions by Mohapatra, Pritish, Rolinek, Michal, Jawahar, C.V., Kolmogorov, Vladimir, Kumar, M. Pawan

“…The accuracy of information retrieval systems is often measured using complex loss functions such as the average precision (AP) or the normalized discounted…”
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Multi-Domain Incremental Learning for Semantic Segmentation by Garg, Prachi, Saluja, Rohit, Balasubramanian, Vineeth N, Arora, Chetan, Subramanian, Anbumani, Jawahar, C.V.

“…Recent efforts in multi-domain learning for semantic segmentation attempt to learn multiple geographical datasets in a universal, joint model. A simple…”
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DGAZE: Driver Gaze Mapping on Road by Dua, Isha, John, Thrupthi Ann, Gupta, Riya, Jawahar, C.V.

“…Driver gaze mapping is crucial to estimate driver attention and determine which objects the driver is focusing on while driving. We introduce DGAZE, the first…”
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A Multi-Space Approach to Zero-Shot Object Detection by Gupta, Dikshant, Anantharaman, Aditya, Mamgain, Nehal, S, Sowmya Kamath, Balasubramanian, Vineeth N, Jawahar, C.V.

“…Object detection has been at the forefront for higher level vision tasks such as scene understanding and contextual reasoning. Therefore, solving object…”
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Improving Word Recognition using Multiple Hypotheses and Deep Embeddings by Bansal, Siddhant, Krishnan, Praveen, Jawahar, C.V.

“…We propose a novel scheme for improving the word recognition accuracy using word image embeddings. We use a trained text recognizer, which can predict multiple…”
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Visual Speech Enhancement Without A Real Visual Stream by Hegde, Sindhu B, Prajwal, K R, Mukhopadhyay, Rudrabha, Namboodiri, Vinay, Jawahar, C.V.

“…In this work, we re-think the task of speech enhancement in unconstrained real-world environments. Current state- of-the-art methods use only the audio stream…”
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New Objects on the Road? No Problem, We'll Learn Them Too by Singh, Deepak Kumar, Rai, Shyam Nandan, Joseph, K J, Saluja, Rohit, Balasubramanian, Vineeth N, Arora, Chetan, Subramanian, Anbumani, Jawahar, C.V.

“…Object detection plays an essential role in providing localization, path planning, and decision making capabilities in autonomous navigation systems. However,…”
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A Deep Learning Approach for Robust Corridor Following by Dorbala, Vishnu Sashank, Abdul Hafez, A.H., Jawahar, C.V.

“…For an autonomous corridor following task where the environment is continuously changing, several forms of environmental noise prevent an automated feature…”
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ICDAR 2019 Competition on Scene Text Visual Question Answering by Furkan Biten, Ali, Tito, Ruben, Mafla, Andres, Gomez, Lluis, Rusinol, Marcal, Mathew, Minesh, Jawahar, C.V., Valveny, Ernest, Karatzas, Dimosthenis

“…This paper presents final results of ICDAR 2019 Scene Text Visual Question Answering competition (ST-VQA). ST-VQA introduces an important aspect that is not…”
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RoadText-1K: Text Detection & Recognition Dataset for Driving Videos by Reddy, Sangeeth, Mathew, Minesh, Gomez, Lluis, Rusinol, Marcal, Karatzas, Dimosthenis, Jawahar, C.V.

“…Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical requirement to build intelligent systems for driver assistance and…”
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Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads by Goyal, Aman, Agarwal, Dev, Subramanian, Anbumani, Jawahar, C.V., Sarvadevabhatla, Ravi Kiran, Saluja, Rohit

“…In many Asian countries with unconstrained road traffic conditions, driving violations such as not wearing helmets and triple-riding are a significant source…”
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Bringing semantics into word image representation by Krishnan, Praveen, Jawahar, C.V.

“…•We propose a normalized word representation which is invariant to word form inflections.•We introduce a novel semantic representation for word images which…”
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Trajectory aligned features for first person action recognition by Singh, Suriya, Arora, Chetan, Jawahar, C.V.

“…Egocentric videos are characterized by their ability to have the first person view. With the popularity of Google Glass and GoPro, use of egocentric videos is…”
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Dataset agnostic document object detection by Mondal, Ajoy, Agarwal, Madhav, Jawahar, C.V.

“…•Present an end-to-end trainable DOLNet to detect document objects more accurately.•DOLNet consists of Cascade Mask R-CNN, composite backbones with deformable…”
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Looking Farther in Parametric Scene Parsing with Ground and Aerial Imagery by Modhugu, Raghava, Sethuram, Harish Rithish, Chandraker, Manmohan, Jawahar, C.V.

“…Parametric models that represent layout in terms of scene attributes are an attractive avenue for road scene understanding in autonomous navigation. Prior…”
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