activity
20172023
most citedInformer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

476 citations · 828 across the 27 of their papers we have counts for

collaborators

38 papers

cs.CV2023

QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection

Yifan Zhang, Zhen Dong, Huanrui Yang +6

Multi-view 3D detection based on BEV (bird-eye-view) has recently achieved significant improvements. However, the huge memory consumption of state-of-the-art models makes it hard t…

cs.CV2023

PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers

Peidong Jia, Jiaming Liu, Senqiao Yang +3

The Transformer-based detectors (i.e., DETR) have demonstrated impressive performance on end-to-end object detection. However, transferring DETR to different data distributions may…

eess.IV2023

DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images

Mingjie Pan, Yulu Gan, Fangxu Zhou +4

Three-dimensional microscopy is often limited by anisotropic spatial resolution, resulting in lower axial resolution than lateral resolution. Current State-of-The-Art (SoTA) isotro…

cs.CV20235 cited

UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering

Mingjie Pan, Li Liu, Jiaming Liu +6

In this technical report, we present our solution, named UniOCC, for the Vision-Centric 3D occupancy prediction track in the nuScenes Open Dataset Challenge at CVPR 2023. Existing…

cs.CV2023

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

Jiaming Liu, Senqiao Yang, Peidong Jia +5

Since real-world machine systems are running in non-stationary environments, Continual Test-Time Adaptation (CTTA) task is proposed to adapt the pre-trained model to continually ch…

cs.LG2023

HUB: Guiding Learned Optimizers with Continuous Prompt Tuning

Gaole Dai, Wei Wu, Ziyu Wang +3

Learned optimizers are a crucial component of meta-learning. Recent advancements in scalable learned optimizers have demonstrated their superior performance over hand-designed opti…