173 citations · 266 across the 11 of their papers we have counts for
11 papers
Predicting 3D representations for Dynamic Scenes
Di Qi, Tong Yang, Beining Wang +2
We present a novel framework for dynamic radiance field prediction given monocular video streams. Unlike previous methods that primarily focus on predicting future frames, our meth…
Slot-guided Volumetric Object Radiance Fields
Di Qi, Tong Yang, Xiangyu Zhang
We present a novel framework for 3D object-centric representation learning. Our approach effectively decomposes complex scenes into individual objects from a single image in an uns…
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
Longlin Yu, Tianyu Xie, Yu Zhu +3
Semi-implicit variational inference (SIVI) has been introduced to expand the analytical variational families by defining expressive semi-implicit distributions in a hierarchical ma…
LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation
Ruiqi Wu, Liangyu Chen, Tong Yang +3
With the impressive progress in diffusion-based text-to-image generation, extending such powerful generative ability to text-to-video raises enormous attention. Existing methods ei…
LGD: Label-guided Self-distillation for Object Detection
Peizhen Zhang, Zijian Kang, Tong Yang +3
In this paper, we propose the first self-distillation framework for general object detection, termed LGD (Label-Guided self-Distillation). Previous studies rely on a strong pretrai…
Anchor DETR: Query Design for Transformer-Based Object Detection
Yingming Wang, Xiangyu Zhang, Tong Yang +1
In this paper, we propose a novel query design for the transformer-based object detection. In previous transformer-based detectors, the object queries are a set of learned embeddin…