Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Vipparthi, Santosh Kumar"'
Autor:
Dai, Yuekun, Zhang, Dafeng, Li, Xiaoming, Yue, Zongsheng, Li, Chongyi, Zhou, Shangchen, Feng, Ruicheng, Yang, Peiqing, Jin, Zhezhu, Liu, Guanqun, Loy, Chen Change, Zhang, Lize, Liu, Shuai, Feng, Chaoyu, Wang, Luyang, Chen, Shuan, Shao, Guangqi, Wang, Xiaotao, Lei, Lei, Yang, Qirui, Cheng, Qihua, Xu, Zhiqiang, Liu, Yihao, Yue, Huanjing, Yang, Jingyu, Vasluianu, Florin-Alexandru, Wu, Zongwei, Ciubotariu, George, Timofte, Radu, Zhang, Zhao, Zhao, Suiyi, Wang, Bo, Zuo, Zhichao, Wei, Yanyan, Teja, Kuppa Sai Sri, A, Jayakar Reddy, Rongali, Girish, Mitra, Kaushik, Ma, Zhihao, Liu, Yongxu, Zhang, Wanying, Shang, Wei, He, Yuhong, Peng, Long, Yu, Zhongxin, Luo, Shaofei, Wang, Jian, Miao, Yuqi, Li, Baiang, Wei, Gang, Verma, Rakshank, Maheshwari, Ritik, Tekchandani, Rahul, Hambarde, Praful, Tazi, Satya Narayan, Vipparthi, Santosh Kumar, Murala, Subrahmanyam, Zhang, Haopeng, Hou, Yingli, Yao, Mingde, S, Levin M, Sundararajan, Aniruth, A, Hari Kumar
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems. However, the scarcity of high-quality data fo
Externí odkaz:
http://arxiv.org/abs/2404.19534
Autor:
Verma, Monu, Mandal, Murari, Reddy, Satish Kumar, Meedimale, Yashwanth Reddy, Vipparthi, Santosh Kumar
Automated human emotion recognition from facial expressions is a well-studied problem and still remains a very challenging task. Some efficient or accurate deep learning models have been presented in the literature. However, it is quite difficult to
Externí odkaz:
http://arxiv.org/abs/2303.13653
Micro expression recognition (MER) is a very challenging area of research due to its intrinsic nature and fine-grained changes. In the literature, the problem of MER has been solved through handcrafted/descriptor-based techniques. However, in recent
Externí odkaz:
http://arxiv.org/abs/2210.04935
Autor:
Verma, Monu, Vipparthi, Santosh Kumar
Inspired from the assets of handcrafted and deep learning approaches, we proposed a RARITYNet: RARITY guided affective emotion learning framework to learn the appearance features and identify the emotion class of facial expressions. The RARITYNet fra
Externí odkaz:
http://arxiv.org/abs/2205.08595
In this paper, we propose a new feature descriptor Cross-Centroid Ripple Pattern (CRIP) for facial expression recognition. CRIP encodes the transitional pattern of a facial expression by incorporating cross-centroid relationship between two ripples l
Externí odkaz:
http://arxiv.org/abs/2201.05958
Autor:
Biradar, Kuldeep Marotirao, Mandal, Murari, Dube, Sachin, Vipparthi, Santosh Kumar, Tyagi, Dinesh Kumar
Publikováno v:
In Image and Vision Computing October 2024 150
The HGR is a quite challenging task as its performance is influenced by various aspects such as illumination variations, cluttered backgrounds, spontaneous capture, etc. The conventional CNN networks for HGR are following two stage pipeline to deal w
Externí odkaz:
http://arxiv.org/abs/2105.07143
Visual change detection, aiming at segmentation of video frames into foreground and background regions, is one of the elementary tasks in computer vision and video analytics. The applications of change detection include anomaly detection, object trac
Externí odkaz:
http://arxiv.org/abs/2105.01342
Micro-expressions are hard to spot due to fleeting and involuntary moments of facial muscles. Interpretation of micro emotions from video clips is a challenging task. In this paper we propose an affective-motion imaging that cumulates rapid and short
Externí odkaz:
http://arxiv.org/abs/2104.07569
Publikováno v:
In Expert Systems With Applications 1 December 2023 232