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08/08/2023
Efficient option pricing with unary-based photonic computing chip and generative adversarial learning
In the modern financial industry system, the structure of products has b...
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07/26/2023
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
We propose MAMo, a novel memory and attention frame-work for monocular v...
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05/18/2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
We introduce OpenShape, a method for learning multi-modal joint represen...
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04/12/2023
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
Inverse path tracing has recently been applied to joint material and lig...
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04/06/2023
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation
The ubiquitous multi-camera setup on modern autonomous vehicles provides...
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03/28/2023
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
In this paper, we develop rotation-equivariant neural networks for 4D pa...
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03/24/2023
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
We propose a novel data augmentation approach, DistractFlow, for trainin...
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03/02/2023
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
We present DejaVu, a novel framework which leverages conditional image r...
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02/24/2023
TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation
Test-time adaptive (TTA) semantic segmentation adapts a source pre-train...
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12/03/2022
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
Generalizable 3D part segmentation is important but challenging in visio...
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10/13/2022
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation
Bird's-eye-view (BEV) grid is a common representation for the perception...
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04/11/2022
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation
This paper presents a novel framework to integrate both semantic and ins...
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03/03/2022
A photonic chip-based machine learning approach for the prediction of molecular properties
Machine learning methods have revolutionized the discovery process of ne...
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11/03/2021
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation
While deeply supervised networks are common in recent literature, they t...
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10/24/2021
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation
In this paper, we propose a novel method, X-Distill, to improve the self...
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10/24/2021
Perceptual Consistency in Video Segmentation
In this paper, we present a novel perceptual consistency perspective on ...
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10/24/2021
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
In video segmentation, generating temporally consistent results across f...
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06/06/2018
