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08/09/2023
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction
Conversion rate (CVR) prediction is an essential task for large-scale e-...
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08/08/2023
LATR: 3D Lane Detection from Monocular Images with Transformer
3D lane detection from monocular images is a fundamental yet challenging...
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03/21/2023
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds
3D single object tracking in LiDAR point clouds (LiDAR SOT) plays a cruc...
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01/03/2023
Benchmarking the Robustness of LiDAR Semantic Segmentation Models
When using LiDAR semantic segmentation models for safety-critical applic...
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12/02/2022
Geometry-Aware Network for Domain Adaptive Semantic Segmentation
Measuring and alleviating the discrepancies between the synthetic (sourc...
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10/09/2022
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis
Although recent point cloud analysis achieves impressive progress, the p...
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09/13/2022
M^2-3DLaneNet: Multi-Modal 3D Lane Detection
Estimating accurate lane lines in 3D space remains challenging due to th...
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08/22/2022
Revising Image-Text Retrieval via Multi-Modal Entailment
An outstanding image-text retrieval model depends on high-quality labele...
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07/10/2022
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
As camera and LiDAR sensors capture complementary information used in au...
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07/05/2022
Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases
Recent progress on 3D scene understanding has explored visual grounding ...
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03/21/2022
General and Domain Adaptive Chinese Spelling Check with Error Consistent Pretraining
The lack of label data is one of the significant bottlenecks for Chinese...
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03/03/2022
Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds
3D single object tracking (3D SOT) in LiDAR point clouds plays a crucial...
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03/02/2022
X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning
3D dense captioning aims to describe individual objects by natural langu...
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01/24/2022
Multi-Graph Fusion Networks for Urban Region Embedding
Learning the embeddings for urban regions from human mobility data can r...
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12/22/2021
CLEVR3D: Compositional Language and Elementary Visual Reasoning for Question Answering in 3D Real-World Scenes
3D scene understanding is a relatively emerging research field. In this ...
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12/12/2021
ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation
Code-switching is a speech phenomenon when a speaker switches language d...
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11/19/2021
DVCFlow: Modeling Information Flow Towards Human-like Video Captioning
Dense video captioning (DVC) aims to generate multi-sentence description...
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10/11/2021
Semi-Autoregressive Image Captioning
Current state-of-the-art approaches for image captioning typically adopt...
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08/10/2021
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
Current 3D single object tracking approaches track the target based on a...
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04/30/2021
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
Point Cloud Sampling and Recovery (PCSR) is critical for massive real-ti...
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03/01/2021
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring
Compared with the visual grounding in 2D images, the natural-language-gu...
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12/07/2020
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
LiDAR point cloud analysis is a core task for 3D computer vision, especi...
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03/01/2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Raw point clouds data inevitably contains outliers or noise through acqu...
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01/19/2020
SQLFlow: A Bridge between SQL and Machine Learning
Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
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08/15/2015
