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Publication search results
found 2,216 matches
- 2023
- Luis Acevedo-Bringas, Gibran Benitez-Garcia, Jesus Olivares-Mercado, Hiroki Takahashi:
YOLOv5 with Mixed Backbone for Efficient Spatio-Temporal Hand Gesture Localization and Recognition. MVA 2023: 1-5 - Taiki Arakane, Chihiro Kai, Takeshi Saitoh:
Can you read lips with a masked face? MVA 2023: 1-5 - Paola Barra, Alessia Auriemma Citarella, Giosuè Orefice, Modesto Castrillón Santana, Angelo Ciaramella:
LOTS: Litter On The Sand dataset for litter segmentation. MVA 2023: 1-4 - Aleixo Cambeiro Barreiro, Mariusz Trzeciakiewicz, Anna Hilsmann, Peter Eisert:
Automatic Reconstruction of Semantic 3D Models from 2D Floor Plans. MVA 2023: 1-5 - Anagh Benjwal, Prajwal Uday, Aditya Vadduri, Abhishek Pai:
Safe Landing Zone Detection for UAVs using Image Segmentation and Super Resolution. MVA 2023: 1-6 - Hugo Bulzomi, Amélie Gruel, Jean Martinet, Takeshi Fujita, Yuta Nakano, Rémy Bendahan:
Object Detection for Embedded Systems Using Tiny Spiking Neural Networks: Filtering Noise Through Visual Attention. MVA 2023: 1-5 - Fuzhen Cai, Siyu Xia:
Mixed Distillation for Unsupervised Anomaly Detection. MVA 2023: 1-5 - Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià:
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data. MVA 2023: 1-6 - Agustin Castillo-Munguia, Gibran Benitez-Garcia, Jesus Olivares-Mercado, Hiroki Takahashi:
Diabetic Retinopathy Grading based on a Sparse Network Fusion of Heterogeneous ConvNeXt Models with Category Attention. MVA 2023: 1-5 - Yeongnam Chae, Poulami Raha, Mijung Kim, Björn Stenger:
Age Prediction From Face Images Via Contrastive Learning. MVA 2023: 1-6 - Shekhor Chanda, Yang Wang:
Dynamic Transfer for Domain Adaptation in Crowd Counting. MVA 2023: 1-5 - Yu-Hsien Chen, Chih-Yi Chiu:
MFFPN: an Anchor-Free Method for Patent Drawing Object Detection. MVA 2023: 1-5 - Junwen Chen, Keiji Yanai:
QAHOI: Query-Based Anchors for Human-Object Interaction Detection. MVA 2023: 1-5 - Chu-Chi Chiu, Hsuan-Kung Yang, Hao-Wei Chen, Yu-Wen Chen, Chun-Yi Lee:
ViTVO: Vision Transformer based Visual Odometry with Attention Supervision. MVA 2023: 1-5 - Srijan Das, Michael S. Ryoo:
Cross-modal Manifold Cutmix for Self-supervised Video Representation Learning. MVA 2023: 1-6 - David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana, Daniel Hernández-Sosa, Modesto Castrillón Santana:
An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment. MVA 2023: 1-5 - Tomohiro Fujita, Yasutomo Kawanishi:
Human Pose Prediction by Progressive Generation in Multi-scale Frequency Domain. MVA 2023: 1-5 - Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí:
Leveraging Embedding Information to Create Video Capsule Endoscopy Datasets. MVA 2023: 1-5 - Kuber Reddy Gorantla, Aditi Roy:
Generalizable Solar Irradiation Prediction using Large Transformer Models with Sky Imagery. MVA 2023: 1-5 - Hirotaka Hachiya, Yuto Yoshimura:
Combining Static Specular Flow and Highlight with Deep Features for Specular Surface Detection. MVA 2023: 1-5 - Sho Harada, Xian-Hua Han:
A Hybrid Wheat Head Detection model with Incorporated CNN and Transformer. MVA 2023: 1-5 - Hiroto Harada, Michihiro Mikamo, Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki:
Generalization of pixel-wise phase estimation by CNN and improvement of phase-unwrapping by MRF optimization for one-shot 3D scan. MVA 2023: 1-5 - Hansen Hendra, Yubin Liu, Ryoichi Ishikawa, Takeshi Oishi, Yoshihiro Sato:
Quadruped Robot Platform for Selective Pesticide Spraying. MVA 2023: 1-6 - Yutaro Hiraoka, Kazuhiro Fukui:
Deep Randomized Time Warping for Action Recognition. MVA 2023: 1-5 - Yudai Hirose, Satoshi Ono:
Black-box Adversarial Attack against Visual Interpreters for Deep Neural Networks. MVA 2023: 1-6 - Jui-Teng Ho, Gee-Sern Hsu, Svetlana N. Yanushkevich, Marina L. Gavrilova:
Outline Generation Transformer for Bilingual Scene Text Recognition. MVA 2023: 1-5 - Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee:
Ensemble Fusion for Small Object Detection. MVA 2023: 1-6 - Sheng-Kai Huang, Chun-Rong Huang:
Transformer with Task Selection for Continual Learning. MVA 2023: 1-5 - Yu-Hui Huang, Marc Proesmans, Luc Van Gool:
Padding Investigations for CNNs in Scene Parsing Tasks. MVA 2023: 1-5 - Da Huo, Marc A. Kastner, Tingwei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide:
Small Object Detection for Birds with Swin Transformer. MVA 2023: 1-5
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