Jiquan Ngiam
16 papers · 2010–2022 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (12)
πΊοΈ
Taxonomy Completionist
(33)
π
Conference Polyglot
(7)
π
Academic Marathon
(12)
π
Keyword Trendsetter Combo
(4)
π₯
Mega-Team
(23)
π§¬
Topic Evolution
π
Keyword Champion
ποΈ
Keyword Collector
(78)
π
Trend Setter
β‘
Prolific Year
(5)
π
Century Club
(16)
Conferences
NIPS (6)
CVPR (4)
ECCV (2)
ACL (1)
CORL (1)
ICCV (1)
ICLR (1)
Top co-authors
Research topics
Keywords
3d object detection
(5)
autonomous driving
(5)
convolutional neural network
(4)
feature learning
(3)
unsupervised feature learning
(2)
3d detection
(2)
independent component analysis
(1)
domain adaptation
(1)
image classification
(1)
neural machine translation
(1)
multi-view fusion
(1)
transfer learning
(1)
point cloud
(1)
model architecture
(1)
multi-modal learning
(1)
curriculum learning
(1)
pedestrian detection
(1)
object tracking
(1)
conditional computation
(1)
motion forecasting
(1)
Papers
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
ICLR 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
CVPR 2022
3D-MAN: 3D Multi-Frame Attention Network for Object Detection
CVPR 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset
ICCV 2021
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels
CVPR 2021
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
CVPR 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
NIPS 2020
Learning a Multi-Domain Curriculum for Neural Machine Translation
ACL 2020
Streaming Object Detection for 3-D Point Clouds
ECCV 2020
Improving 3D Object Detection through Progressive Population Based Augmentation
ECCV 2020
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
NIPS 2019
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
NIPS 2019
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
CORL 2019
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
NIPS 2011
Sparse Filtering
NIPS 2011
Tiled convolutional neural networks
NIPS 2010