65 citations · 171 across the 20 of their papers we have counts for
19 papers · 1 filter
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
Kanishk Jain, Shyamgopal Karthik, Vineet Gandhi
We investigate the problem of reducing mistake severity for fine-grained classification. Fine-grained classification can be challenging, mainly due to the requirement of domain exp…
Ground then Navigate: Language-guided Navigation in Dynamic Scenes
Kanishk Jain, Varun Chhangani, Amogh Tiwari +2
We investigate the Vision-and-Language Navigation (VLN) problem in the context of autonomous driving in outdoor settings. We solve the problem by explicitly grounding the navigable…
Grounding Linguistic Commands to Navigable Regions
Nivedita Rufus, Kanishk Jain, Unni Krishnan R Nair +2
Humans have a natural ability to effortlessly comprehend linguistic commands such as "park next to the yellow sedan" and instinctively know which region of the road the vehicle sho…
Bringing Generalization to Deep Multi-View Pedestrian Detection
Jeet Vora, Swetanjal Dutta, Kanishk Jain +2
Multi-view Detection (MVD) is highly effective for occlusion reasoning in a crowded environment. While recent works using deep learning have made significant advances in the field,…
High-Resolution Depth Maps Based on TOF-Stereo Fusion
Vineet Gandhi, Jan Cech, Radu Horaud
The combination of range sensors with color cameras can be very useful for robot navigation, semantic perception, manipulation, and telepresence. Several methods of combining range…
Comprehensive Multi-Modal Interactions for Referring Image Segmentation
Kanishk Jain, Vineet Gandhi
We investigate Referring Image Segmentation (RIS), which outputs a segmentation map corresponding to the natural language description. Addressing RIS efficiently requires consideri…
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction
Samyak Jain, Pradeep Yarlagadda, Shreyank Jyoti +3
We propose the ViNet architecture for audio-visual saliency prediction. ViNet is a fully convolutional encoder-decoder architecture. The encoder uses visual features from a network…
GAZED- Gaze-guided Cinematic Editing of Wide-Angle Monocular Video Recordings
K L Bhanu Moorthy, Moneish Kumar, Ramanathan Subramaniam +1
We present GAZED- eye GAZe-guided EDiting for videos captured by a solitary, static, wide-angle and high-resolution camera. Eye-gaze has been effectively employed in computational…
Cosine meets Softmax: A tough-to-beat baseline for visual grounding
Nivedita Rufus, Unni Krishnan R Nair, K. Madhava Krishna +1
In this paper, we present a simple baseline for visual grounding for autonomous driving which outperforms the state of the art methods, while retaining minimal design choices. Our…
Simple Unsupervised Multi-Object Tracking
Shyamgopal Karthik, Ameya Prabhu, Vineet Gandhi
Multi-object tracking has seen a lot of progress recently, albeit with substantial annotation costs for developing better and larger labeled datasets. In this work, we remove the n…
Tidying Deep Saliency Prediction Architectures
Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda +1
Learning computational models for visual attention (saliency estimation) is an effort to inch machines/robots closer to human visual cognitive abilities. Data-driven efforts have d…
CineFilter: Unsupervised Filtering for Real Time Autonomous Camera Systems
Sudheer Achary, K L Bhanu Moorthy, Syed Ashar Javed +3
Autonomous camera systems are often subjected to an optimization/filtering operation to smoothen and stabilize the rough trajectory estimates. Most common filtering techniques do r…
Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and Reliability
Shyamgopal Karthik, Abhinav Moudgil, Vineet Gandhi
Recent works have proposed several long term tracking benchmarks and highlight the importance of moving towards long-duration tracking to bridge the gap with application requiremen…
Nose, eyes and ears: Head pose estimation by locating facial keypoints
Aryaman Gupta, Kalpit Thakkar, Vineet Gandhi +1
Monocular head pose estimation requires learning a model that computes the intrinsic Euler angles for pose (yaw, pitch, roll) from an input image of human face. Annotating ground t…
Watch to Edit: Video Retargeting using Gaze
Kranthi Kumar, Moneish Kumar, Vineet Gandhi +1
We present a novel approach to optimally retarget videos for varied displays with differing aspect ratios by preserving salient scene content discovered via eye tracking. Our algor…
MergeNet: A Deep Net Architecture for Small Obstacle Discovery
Krishnam Gupta, Syed Ashar Javed, Vineet Gandhi +1
We present here, a novel network architecture called MergeNet for discovering small obstacles for on-road scenes in the context of autonomous driving. The basis of the architecture…
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision
Syed Ashar Javed, Shreyas Saxena, Vineet Gandhi
Localizing natural language phrases in images is a challenging problem that requires joint understanding of both the textual and visual modalities. In the unsupervised setting, lac…
Long-Term Visual Object Tracking Benchmark
Abhinav Moudgil, Vineet Gandhi
We propose a new long video dataset (called Track Long and Prosper - TLP) and benchmark for single object tracking. The dataset consists of 50 HD videos from real world scenarios,…
Automated Top View Registration of Broadcast Football Videos
Rahul Anand Sharma, Bharath Bhat, Vineet Gandhi +1
In this paper, we propose a novel method to register football broadcast video frames on the static top view model of the playing surface. The proposed method is fully automatic in…