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05/15/2023
Inverse Rendering of Translucent Objects using Physical and Neural Renderers
In this work, we propose an inverse rendering model that estimates 3D sh...
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04/20/2023
Learning Bottleneck Concepts in Image Classification
Interpreting and explaining the behavior of deep neural networks is crit...
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02/04/2023
Human-Imperceptible Identification with Learnable Lensless Imaging
Lensless imaging protects visual privacy by capturing heavily blurred im...
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01/31/2023
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers
Vision Transformers (ViTs) are becoming a very popular paradigm for visi...
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11/18/2022
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
Video summarization aims to select the most informative subset of frames...
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09/28/2022
A General Scattering Phase Function for Inverse Rendering
We tackle the problem of modeling light scattering in homogeneous transl...
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08/23/2022
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks
Is more data always better to train vision-and-language models? We study...
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08/04/2022
Privacy-Preserving Action Recognition via Motion Difference Quantization
The widespread use of smart computer vision systems in our personal spac...
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04/26/2022
Acquiring a Dynamic Light Field through a Single-Shot Coded Image
We propose a method for compressively acquiring a dynamic light field (a...
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09/02/2021
Built Year Prediction from Buddha Face with Heterogeneous Labels
Buddha statues are a part of human culture, especially of the Asia area,...
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05/25/2021
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph
The rise of digitization of cultural documents offers large-scale conten...
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01/28/2021
Development of a Vertex Finding Algorithm using Recurrent Neural Network
Deep learning is a rapidly-evolving technology with possibility to signi...
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11/25/2020
Match Them Up: Visually Explainable Few-shot Image Classification
Few-shot learning (FSL) approaches are usually based on an assumption th...
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11/07/2020
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns
The status of retinal arteriovenous crossing is of great significance fo...
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10/19/2020
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
Semantic video segmentation is a key challenge for various applications....
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09/14/2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
Explainable artificial intelligence is gaining attention. However, most ...
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05/27/2020
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
Retinal imaging serves as a valuable tool for diagnosis of various disea...
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12/23/2019
5D Light Field Synthesis from a Monocular Video
Commercially available light field cameras have difficulty in capturing ...
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12/12/2019
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
Retinal vessel segmentation is of great interest for diagnosis of retina...
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09/17/2019
BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues
We introduce BUDA.ART, a system designed to assist researchers in Art Hi...
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09/17/2019
Historical and Modern Features for Buddha Statue Classification
While Buddhism has spread along the Silk Roads, many pieces of art have ...
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05/31/2019
Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System
We work on the task of automatically designing a treatment plan from the...
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07/16/2014