17 citations · 40 across the 28 of their papers we have counts for
8 papers · 1 filter
Agentic Video Understanding: A Survey
Xinyu Deng, Siwen Luo, Daochang Liu
As large language models (LLMs) become capable of processing increasingly diverse modalities and longer temporal contexts, an emerging line of work is moving beyond fixed video-lan…
WAVE: Wavelet-Controlled Coarse-to-Fine Guidance for Depth Super-Resolution
Tayyab Nasir, Daochang Liu, Ajmal Mian
Guided depth super-resolution (GDSR) typically extracts RGB guidance features through convolutional hierarchies, inheriting their fine-to-coarse bias. Thus, low-level spatial cues…
StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models
Siyu Xu, Yunke Wang, Zijian Wang +6
Vision-Language-Action (VLA) models can follow instructions and manipulate objects, but their performance often collapses out of distribution (OOD), when the scene, viewpoint, or o…
Locating Failure in Multi-Page Visually Rich Document Understanding Systems: An Empirical Attribution
Lewei Xu, Yihao Ding, Zihan Xu +5
Multi-page visually rich document understanding (MP-VRDU) systems can fail when evidence is not faithfully represented, not selected, or not used correctly, yet final accuracy alon…
Multi-scale Coarse-to-fine Modeling for Test-time Human Motion Control
Nhat Le, Daochang Liu, Anh Nguyen +1
We present MSCoT, a multi-scale, coarse-to-fine model for test-time human motion synthesis and control. Unlike recent approaches that rely on multiple iterative denoising/token-pre…
NAIMA: Semantics Aware RGB Guided Depth Super-Resolution
Tayyab Nasir, Daochang Liu, Ajmal Mian
Guided depth super-resolution (GDSR) is a multi-modal approach for depth map super-resolution that relies on a low-resolution depth map and a high-resolution RGB image to restore f…
Draft-and-Target Sampling for Video Generation Policy
Qikang Zhang, Yingjie Lei, Wei Liu +1
Video generation models have been used as a robot policy to predict the future states of executing a task conditioned on task description and observation. Previous works ignore the…
Implicit Neural Representation-Based Continuous Single Image Super-Resolution: An Empirical Benchmark
Tayyab Nasir, Daochang Liu, Ajmal Mian
Implicit neural representation (INR) has become the standard approach for arbitrary-scale image super-resolution (ASSR). However, no systematic empirical study has examined the eff…