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Lanjun Wang

8 papers hereh-index 216 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.GR1
  • cs.RO1
same name
  • Lanjun Wang — 18 papers, h 16
  • Lanjun Wang — 13 papers, h 10
  • Lanjun Wang — 7 papers, h 4
  • Lanjun Wang — 3 papers, h 1
  • Lanjun Wang — 1 paper, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents

Tianyidan Xie, Shenyi Wang, Qiang Tang +7

Embodied agents performing long-horizon tasks require a memory representation in which the state transitions of dynamic objects remain queryable in natural language across hours-to…

cs.CV2026

EgoMonth: A Month-Level Egocentric Video Benchmark for Long-Term Spatiotemporal Memory

Weitao Chen, Hu Jiaxin, Xie Tianyidan +15

Recent advances in Multimodal Large Language Models (MLLMs) have led to substantial progress in video understanding, accompanied by a growing number of long video benchmarks. Howev…

cs.CV2026

A training-free framework for high-fidelity appearance transfer via diffusion transformers

Shengrong Gu, Ye Wang, Song Wu +4

Diffusion Transformers (DiTs) excel at generation, but their global self-attention makes controllable, reference-image-based editing a distinct challenge. Unlike U-Nets, naively in…

cs.CV2026

Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers

Ruidong Chen, Yancheng Bai, Xuanpu Zhang +6

Region-instructed layout control in text-to-image generation is highly practical, yet existing methods suffer from limitations: (i) training-based approaches inherit data bias and…

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