activity
20102024
most citedSphereFace: Deep Hypersphere Embedding for Face Recognition

409 citations · 1.5k across the 95 of their papers we have counts for

collaborators
Showing 2022Show all

25 papers · 1 filter

cs.CV2022

Panoramic Video Salient Object Detection with Ambisonic Audio Guidance

Xiang Li, Haoyuan Cao, Shijie Zhao +3

Video salient object detection (VSOD), as a fundamental computer vision problem, has been extensively discussed in the last decade. However, all existing works focus on addressing…

cs.SD2022★ 3 cited

Describing emotions with acoustic property prompts for speech emotion recognition

Hira Dhamyal, Benjamin Elizalde, Soham Deshmukh +3

Emotions lie on a broad continuum and treating emotions as a discrete number of classes limits the ability of a model to capture the nuances in the continuum. The challenge is how…

cs.CV2022★ 1 cited

VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning

Kashu Yamazaki, Khoa Vo, Sang Truong +2

Video paragraph captioning aims to generate a multi-sentence description of an untrimmed video with several temporal event locations in coherent storytelling. Following the human p…

cs.CV2022★ 4 cited

An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning

Hao Chen, Yue Fan, Yidong Wang +5

Semi-supervised learning (SSL) has shown great promise in leveraging unlabeled data to improve model performance. While standard SSL assumes uniform data distribution, we consider…

cs.SD2022★ 3 cited

Unifying the Discrete and Continuous Emotion labels for Speech Emotion Recognition

Roshan Sharma, Hira Dhamyal, Bhiksha Raj +1

Traditionally, in paralinguistic analysis for emotion detection from speech, emotions have been identified with discrete or dimensional (continuous-valued) labels. Accordingly, mod…

cs.CV2022★ 1 cited

AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation

Khoa Vo, Sang Truong, Kashu Yamazaki +3

Temporal action proposal generation (TAPG) is a challenging task, which requires localizing action intervals in an untrimmed video. Intuitively, we as humans, perceive an action th…