Tianjian Meng
Microsoft Research (United Kingdom)(GB)
Publications by Year
Research Areas
Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition, Video Analysis and Summarization, Stochastic Gradient Optimization Techniques
Most-Cited Works
- → DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection(2022)493 cited
- → Spatiotemporal Contrastive Video Representation Learning(2021)400 cited
- → SSN: Learning Sparse Switchable Normalization via SparsestMax(2019)48 cited
- → Rethinking Co-design of Neural Architectures and Hardware Accelerators(2021)17 cited
- → Go Wide, Then Narrow: Efficient Training of Deep Thin Networks(2020)5 cited
- → Revisiting Multi-Scale Feature Fusion for Semantic Segmentation(2022)4 cited
- → A Design Space Study for LISTA and Beyond(2021)3 cited