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20192023
most citedOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition

8 citations · 13 across the 5 of their papers we have counts for

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cs.CV20221 cited

PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search

Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan +2

Person search is a challenging problem with various real-world applications, that aims at joint person detection and re-identification of a query person from uncropped gallery imag…

cs.CV20222 cited

Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer

Omkar Thawakar, Sanath Narayan, Jiale Cao +6

State-of-the-art transformer-based video instance segmentation (VIS) approaches typically utilize either single-scale spatio-temporal features or per-frame multi-scale features dur…

cs.CV2021

Discriminative Region-based Multi-Label Zero-Shot Learning

Sanath Narayan, Akshita Gupta, Salman Khan +3

Multi-label zero-shot learning (ZSL) is a more realistic counter-part of standard single-label ZSL since several objects can co-exist in a natural image. However, the occurrence of…

cs.CV20212 cited

Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains

Shivam Chandhok, Sanath Narayan, Hisham Cholakkal +4

The need to address the scarcity of task-specific annotated data has resulted in concerted efforts in recent years for specific settings such as zero-shot learning (ZSL) and domain…

cs.CV2020

D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations

Sanath Narayan, Hisham Cholakkal, Munawar Hayat +3

This work proposes a weakly-supervised temporal action localization framework, called D2-Net, which strives to temporally localize actions using video-level supervision. Our main c…

cs.CV2020

Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification

Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan +2

Zero-shot learning strives to classify unseen categories for which no data is available during training. In the generalized variant, the test samples can further belong to seen or…