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20222026
most citedDepGraph: Towards Any Structural Pruning

6 citations · 15 across the 18 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023

DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators

Hanyang Kong, Dongze Lian, Michael Bi Mi +1

We introduce DreamDrone, a novel zero-shot and training-free pipeline for generating unbounded flythrough scenes from textual prompts. Different from other methods that focus on wa…

cs.CV2023★ 1 cited

Learning Unorthogonalized Matrices for Rotation Estimation

Kerui Gu, Zhihao Li, Shiyong Liu +6

Estimating 3D rotations is a common procedure for 3D computer vision. The accuracy depends heavily on the rotation representation. One form of representation -- rotation matrices -…

cs.CV2023

Priority-Centric Human Motion Generation in Discrete Latent Space

Hanyang Kong, Kehong Gong, Dongze Lian +2

Text-to-motion generation is a formidable task, aiming to produce human motions that align with the input text while also adhering to human capabilities and physical laws. While th…

cs.CV2023

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection

Ming Nie, Yujing Xue, Chunwei Wang +7

Recently, polar-based representation has shown promising properties in perceptual tasks. In addition to Cartesian-based approaches, which separate point clouds unevenly, representi…

cs.CV2023★ 2 cited

Enhancing Video Super-Resolution via Implicit Resampling-based Alignment

Kai Xu, Ziwei Yu, Xin Wang +2

In video super-resolution, it is common to use a frame-wise alignment to support the propagation of information over time. The role of alignment is well-studied for low-level enhan…

cs.CV2023

Bias-Compensated Integral Regression for Human Pose Estimation

Kerui Gu, Linlin Yang, Michael Bi Mi +1

In human and hand pose estimation, heatmaps are a crucial intermediate representation for a body or hand keypoint. Two popular methods to decode the heatmap into a final joint coor…

cs.AI2023★ 6 cited

DepGraph: Towards Any Structural Pruning

Gongfan Fang, Xinyin Ma, Mingli Song +2

Structural pruning enables model acceleration by removing structurally-grouped parameters from neural networks. However, the parameter-grouping patterns vary widely across differen…