activity
20112023
most citedMultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation

25 citations · 66 across the 30 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019

Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification

T M Feroz Ali, Kalpesh K Patel, Rajbabu Velmurugan +1

Person re-identification addresses the problem of matching pedestrian images across disjoint camera views. Design of feature descriptor and distance metric learning are the two fun…

cs.CV2019

A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification

T M Feroz Ali, Subhasis Chaudhuri

In video surveillance, person re-identification is the task of searching person images in non-overlapping cameras. Though supervised methods for person re-identification have attai…

cs.CV2019★ 1 cited

Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification

T M Feroz Ali, Subhasis Chaudhuri

Person re-identification is the task of matching pedestrian images across non-overlapping cameras. In this paper, we propose a non-linear cross-view similarity metric learning for…

cs.LG2019★ 13 cited

On the Separability of Classes with the Cross-Entropy Loss Function

Rudrajit Das, Subhasis Chaudhuri

In this paper, we focus on the separability of classes with the cross-entropy loss function for classification problems by theoretically analyzing the intra-class distance and inte…

cs.CV2019

Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification

Saurabh Kumar, Biplab Banerjee, Subhasis Chaudhuri

We deal with the problem of information fusion driven satellite image/scene classification and propose a generic hallucination architecture considering that all the available senso…

cs.CV2019

Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection

Royston Rodrigues, Neha Bhargava, Rajbabu Velmurugan +1

A classical approach to abnormal activity detection is to learn a representation for normal activities from the training data and then use this learned representation to detect abn…

cs.LG2019★ 7 cited

PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets

Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri

In order to design haptic icons or build a haptic vocabulary, we require a set of easily distinguishable haptic signals to avoid perceptual ambiguity, which in turn requires a way…